Evaluación curso Introducción a la Geoestadística
Guzmán López
30 de noviembre de 2016
Consigna
Se adjunta un archivo de datos espaciales de rinde de maíz y covariables ambientales para un lote de la región Pampeana para dos campañas agrícolas. El archivo está en formato de planilla de cálculo, con 2310 registros organizados en ocho campos/variables: Identificador, coordenadas planares UTM20S, cota topográfica o elevación del terreno, profundidad de napa en floración para primera y segunda campaña (C1 y C2) y rendimiento de maíz en t/ha para la primera y segunda campaña. Los datos de rinde fueron obtenidos mediante monitores montados a cosechadoras y la profundidad de napa fue estimada a partir de la integración de datos en pozos de observación, modelos de simulación hidrodinámicos del acuífero y modelos digitales de elevación del terreno.
Ambiente de trabajo en R
En esta sección se establecieron y describen las características del ambiente de trabajo en R que fueron necesarias para poder comenzar a responder a las preguntas de la evaluación.
Información de la sesión
## R version 3.3.1 (2016-06-21)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Antergos Linux
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] RevoUtilsMath_10.0.0
##
## loaded via a namespace (and not attached):
## [1] backports_1.0.4 magrittr_1.5 RevoUtils_10.0.1 rprojroot_1.1
## [5] tools_3.3.1 htmltools_0.3.5 yaml_2.1.14 Rcpp_0.12.8
## [9] stringi_1.1.2 rmarkdown_1.2 knitr_1.15.1 stringr_1.1.0
## [13] digest_0.6.10 evaluate_0.10Se utilizó el Ambiente de Desarrollo Integrado (IDE) de RStudio (version 0.99.903) para R.
Librerias utilizadas
Se cargaron todas las librerías que fueron utilizadas para la realización de este trabajo.
# Geoestadística
library('gstat')
library('geoR')
library('geoRglm')
# Objetos espaciales
library('sp')
# Algunos estadísticos
library('moments')
# Reestructurar datos
library('reshape2')
# Transformaciones Box-Cox
library('forecast')
# Autocorrelaciones - Indices de Moran y Geary
library('ncf')
# Dependencia espacial
library('spdep')
# Akaike
library('MASS')
# Importancia relativa predictores
library('relaimpo')
# Gráficos
# Versión dev de ggplot2, requiere:
# devtools::install_github("hadley/scales")
# devtools::install_github("tidyverse/ggplot2")
library('ggplot2')
library('ggplot2')
library('gridExtra')
library('corrgram') # correlogramas
# Escalas de colores
library('RColorBrewer')Cargar datos
Se cargaron en R los datos espaciales de rinde de maíz y covariables ambientales para un lote de la región Pampeana para dos campañas agrícolas. Para ello, el archivo original en formato Hoja de cálculo de Microsoft Excel (DataExamenGeo16.xlsx) fue convertido a un Documento de texto plano (DataExamenGeo16.csv). Para la conversión se mantuvieron las cabeceras originales, se asignó como delimitador de campos la coma (,) y el punto (.) como separador decimal y se asignó una extensión de archivo de tipo .csv (valores separados comas).
# Cargar datos
datosRindeMaiz <- read.csv(file = "data/DataExamenGeo16.csv", header = TRUE,
sep = ",", dec = ".")
# Mostrar las primeras seis filas
head(datosRindeMaiz)## ID Lat Long Elev NapaDicC1 NapaDicC2 maizC1 maizC2
## 1 1 3913.263 16153.52 245.99 4.98 4.38 6.8833 4.1816
## 2 2 3933.332 16153.53 245.90 4.85 4.25 9.1300 6.4079
## 3 3 3953.291 16153.54 245.59 4.50 3.90 7.6300 6.2962
## 4 4 3973.250 16153.56 245.48 4.34 3.74 7.5800 6.9209
## 5 5 3993.319 16153.57 245.34 4.16 3.56 9.3425 7.3573
## 6 6 4013.278 16153.58 245.23 4.01 3.41 10.4800 7.1703Los datos rendimiento de maíz (maizC1 y maizC2) y covariables ambientales (Elev, NapaDicC1 y NapaDicC2) fueron de tipo variables continuas. Mientras que el espacio fue de dos dimensiones dado por \(x = \{ Long, Lat \}\).
Crear objeto espacial (SpatialPointsDataFrame)
El objeto datosRindeMaiz de tipo data.frame fue transformado a un objeto espacial de tipo SpatialPointsDataFrame asignando las columnas Long y Lat como las coordenadas del objeto.
coordinates(datosRindeMaiz) <- c("Long", "Lat")Asignar Sistema de Coordenadas de Referencia (CRS)
Dado que se utilizó un Sistema de Coordenadas de Referencia relativo, se asignó al objeto datosRindeMaiz un Sistema de Coordenadas de Referencia vacío.
proj4string(datosRindeMaiz) <- CRS(as.character(NA))Respuesta 1
- Realice un análisis descriptivo exhaustivo para evaluar los supuestos distribucionales del rinde para ambas campañas, la existencia de cambios en la media dentro del lote y la presencia de valores atípicos. Justifique todas las decisiones que tome respecto de los datos originales.
Estructura y resumen de los datos
El objeto datosRindeMaiz posee:
- un objeto de clase
data.framellamadodatacon los atributos de los datos de rinde de maíz sin las coordenadas (2310 observaciones y 6 variables: ID, Elev, NapaDicC1, NapaDicC2, maizC1, maizC2) - un objeto de clase
integerllamadocoords.nrscon dos valores que significan el número de columna deldata.frameoriginal del que se tomaron los datos de las coordenadas - un objeto de clase
matrixllamadocoordsde 2310 filas por 2 columnas con las coordenadas (LongyLat) - un objeto de clase
matrixllamadobboxde 2 filas por 2 columnas con los límites espaciales (Long min,Long max,Lat minyLat max) - un objeto de clase
CRSllamadoproj4stringcon el Sistema de Coordenadas de Referencia
str(datosRindeMaiz)## Formal class 'SpatialPointsDataFrame' [package "sp"] with 5 slots
## ..@ data :'data.frame': 2310 obs. of 6 variables:
## .. ..$ ID : int [1:2310] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ Elev : num [1:2310] 246 246 246 245 245 ...
## .. ..$ NapaDicC1: num [1:2310] 4.98 4.85 4.5 4.34 4.16 4.01 3.93 3.8 3.69 3.59 ...
## .. ..$ NapaDicC2: num [1:2310] 4.38 4.25 3.9 3.74 3.56 3.41 3.33 3.2 3.09 2.99 ...
## .. ..$ maizC1 : num [1:2310] 6.88 9.13 7.63 7.58 9.34 ...
## .. ..$ maizC2 : num [1:2310] 4.18 6.41 6.3 6.92 7.36 ...
## ..@ coords.nrs : int [1:2] 3 2
## ..@ coords : num [1:2310, 1:2] 16154 16154 16154 16154 16154 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "Long" "Lat"
## ..@ bbox : num [1:2, 1:2] 16154 3913 17233 4733
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2] "Long" "Lat"
## .. .. ..$ : chr [1:2] "min" "max"
## ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slot
## .. .. ..@ projargs: chr NADescripción de la variación
Distribución de frecuencias
Para ilustrar como la distribución de los datos de cada variable se ubica con respecto a su mediana o para identificar valores extremos se realizaron Histogramas y Diagramas de cajas para cada una de las variables.
# Ver histogramas de las variables
ggDatosRindeMaiz <- ggplot(data = datosRindeMaiz@data)
# Maíz C1
ggHistMaizC1 <- ggDatosRindeMaiz +
geom_histogram(aes(x = datosRindeMaiz$maizC1),
binwidth = 0.5, fill = "orange", col = "white", alpha = 0.8) +
labs(title = "", x = "Rendimiento maíz (t/ha)", y = "Frecuencia") +
scale_x_continuous(limits = c(0, 18), breaks = seq(0, 18, 2)) +
scale_y_continuous(limits = c(0, 325), breaks = seq(0, 325, 50)) +
theme(plot.margin = unit(c( -1, 1, 1, 1), "mm"))
ggBoxPlotMaizC1 <- ggDatosRindeMaiz +
geom_boxplot(aes(y = datosRindeMaiz$maizC1,
x = rep("RM", length(datosRindeMaiz$maizC1))),
fill = "orange", col = "black", alpha = 0.8) +
labs(title = "C1", x = "", y = "") +
scale_y_continuous(limits = c(0, 18), breaks = seq(0, 18, 2), position = "top") +
theme(plot.margin = unit(c(1, 1, -1, 1), "mm")) +
coord_flip()
# Napa C1
ggHistNapaDicC1 <- ggDatosRindeMaiz +
geom_histogram(aes(x = datosRindeMaiz$NapaDicC1),
binwidth = 0.25, fill = "darkblue", col = "white", alpha = 0.7) +
labs(title = "", x = "Profundidad napa (m)", y = "Frecuencia") +
scale_x_continuous(limits = c(1.5, 6.75), breaks = seq(1.5, 6.75, 1)) +
scale_y_continuous(limits = c(0, 350), breaks = seq(0, 350, 50)) +
theme(plot.margin = unit(c( -1, 1, 1, 1), "mm"))
ggBoxPlotNapaDicC1 <- ggDatosRindeMaiz +
geom_boxplot(aes(y = datosRindeMaiz$NapaDicC1,
x = rep("PN", length(datosRindeMaiz$NapaDicC1))),
fill = "darkblue", col = "black", alpha = 0.7) +
labs(title = "C1", x = "", y = "") +
scale_y_continuous(limits = c(1.5, 6.75),
breaks = seq(1.5, 6.75, 1), position = "top") +
theme(plot.margin = unit(c(1, 1, -1, 1), "mm")) +
coord_flip()
# Maíz C2
ggHistMaizC2 <- ggDatosRindeMaiz +
geom_histogram(aes(x = datosRindeMaiz$maizC2),
binwidth = 0.5, fill = "orange", col = "white", alpha = 0.8) +
labs(title = "", x = "Rendimiento maíz (t/ha)", y = "Frecuencia") +
scale_x_continuous(limits = c(0, 18), breaks = seq(0, 18, 2)) +
scale_y_continuous(limits = c(0, 325), breaks = seq(0, 325, 50)) +
theme(plot.margin = unit(c( -1, 1, 1, 1), "mm"))
ggBoxPlotMaizC2 <- ggDatosRindeMaiz +
geom_boxplot(aes(y = datosRindeMaiz$maizC2,
x = rep("RM", length(datosRindeMaiz$maizC2))),
fill = "orange", col = "black", alpha = 0.8) +
labs(title = "C2", x = "", y = "") +
scale_y_continuous(limits = c(0, 18),
breaks = seq(0, 18, 2), position = "top") +
theme(plot.margin = unit(c(1, 1, -1, 1), "mm")) +
coord_flip()
# Napa C2
ggHistNapaDicC2 <- ggDatosRindeMaiz +
geom_histogram(aes(x = datosRindeMaiz$NapaDicC2),
binwidth = 0.25, fill = "darkblue", col = "white",
alpha = 0.7) +
labs(title = "", x = "Profundidad napa (m)", y = "Frecuencia") +
scale_x_continuous(limits = c(1.5, 6.75), breaks = seq(1.5, 6.75, 1)) +
scale_y_continuous(limits = c(0, 350), breaks = seq(0, 350, 50)) +
theme(plot.margin = unit(c( -1, 1, 1, 1), "mm"))
ggBoxPlotNapaDicC2 <- ggDatosRindeMaiz +
geom_boxplot(aes(y = datosRindeMaiz$NapaDicC2,
x = rep("PN", length(datosRindeMaiz$NapaDicC2))),
fill = "darkblue", col = "black", alpha = 0.7) +
labs(title = "C2", x = "", y = "") +
scale_y_continuous(limits = c(1.5, 6.75),
breaks = seq(1.5, 6.75, 1), position = "top") +
theme(plot.margin = unit(c(1, 1, -1, 1), "mm")) +
coord_flip()
# Elevación
ggHistElev <- ggDatosRindeMaiz +
geom_histogram(aes(x = datosRindeMaiz$Elev),
binwidth = 0.2, fill = "darkred", col = "white", alpha = 0.7) +
labs(title = "", x = "Elevación (m)", y = "Frecuencia") +
scale_x_continuous(limits = c(241.5, 247.5), breaks = seq(240, 248, 1)) +
scale_y_continuous(limits = c(0, 275), breaks = seq(0, 275, 50)) +
theme(axis.text.x = element_text(angle = 45, hjust = 1),
plot.margin = unit(c( -1, 1, 1, 1), "mm"))
ggBoxPlotElev <- ggDatosRindeMaiz +
geom_boxplot(aes(y = datosRindeMaiz$Elev,
x = rep("EL", length(datosRindeMaiz$Elev))),
fill = "darkred", col = "black", alpha = 0.7) +
labs(title = "", x = "", y = "") +
scale_y_continuous(limits = c(241.5, 247.5),
breaks = seq(240, 248, 1), position = "top") +
theme(plot.margin = unit(c(1, 1, -1, 1), "mm")) +
coord_flip()
# Ver plot
grid.arrange(ggBoxPlotMaizC1,
ggHistMaizC1,
ggBoxPlotMaizC2,
ggHistMaizC2,
ggBoxPlotNapaDicC1,
ggHistNapaDicC1,
ggBoxPlotNapaDicC2,
ggHistNapaDicC2,
ggBoxPlotElev,
ggHistElev,
ncol = 3, nrow = 4,
layout_matrix = cbind(c(1,2,3,4), c(5,6,7,8), c(9,10,10,10)),
widths = c(1, 1, 1), heights = c(1, 3, 1, 3))
Se observó para los datos de rendimiento de maíz que el valor de la mediana fue mayor para la campaña 1 que para la campaña 2 y que la dispersión de valores entorno a la mediana fue mayor para la campaña 1 que para la campaña 2. Por otro lado, la frecuencia de valores de rendimiento de maíz por debajo de la mediana fue mayor para la campaña 2 que para la campaña 1 y la frecuencia de valores de rendimiento de maíz por encima de la mediana fue mayor para la campaña 1 que para la campaña 2. Se observaron valores extremos de rendimiento de maíz mayores y menores a la mediana para la campaña 1 y solo menores a la mediana para la campaña 2.
Para los datos de la profundidad de napa se observó que el valor de la mediana fue mayor para la campaña 1 que para la campaña 2 y que la dispersión de valores entorno a la mediana y la frecuencia de valores mayores y menores a la mediana fue semejante para ambas campañas. En ambas campañas se observaron valores extremos mayores a la mediana.
Para los datos de elevación se observó dispersión de valores entorno a la mediana y la frecuencia entre valores mayores y menores a la mediana fue semejante. No se observaron valores extremos para la elevación.
Tendencia central y dispersión
Para analizar cuantitativamente el rango, la tendencia central y la dispersión de los datos de rendimiento de maíz y covariables ambientales se creó una función personalizada llamada ResumenEstadisticas. Además se incluyó que dicha función retorne el tipo de clase de la variable en R y la cantidad de celdas vacías (NA).
ResumenEstadisticas <- function(df) {
# Número de columnas del data.frame
ncol = ncol(df)
# Estadísticas
maximo = numeric()
minimo = numeric()
media = numeric()
mediana = numeric()
moda = vector()
varianza = numeric()
desvioEstandar = numeric()
cv = numeric()
asimetria = numeric()
kurtosis = numeric()
NAs = numeric()
clases = character()
# Función para calcular la moda
Moda <- function(x) {
ux = unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
# Iteración que recorre todas las columnas del data.frame
for(i in 1:ncol) {
# Condición de que la columna para las estadísticas tenga que ser numérica
if(is.numeric(df[,i])) {
mediana[i] = median(df[,i], na.rm = TRUE)
media[i] = mean(df[,i], na.rm = TRUE)
moda[i] = Moda(x = df[,i])
varianza[i] = var(df[,i], na.rm = TRUE)
desvioEstandar[i] = sd(df[,i], na.rm = TRUE)
cv[i] = 100 * (sd(df[,i], na.rm = TRUE) / mean(df[,i], na.rm = TRUE))
asimetria[i] = moments::skewness(df[,i], na.rm = TRUE)
kurtosis[i] = moments::kurtosis(df[,i], na.rm = TRUE)
minimo[i] = min(df[,i], na.rm = TRUE)
maximo[i] = max(df[,i], na.rm = TRUE)
NAs[i] = length(which(is.na(df[,i]) == TRUE))
clases[i] = class(df[,i])
}
# En caso de que no sea de tipo numérica asignar NAs a las
# estadísticas pero calcular el número de NAs y tipo de datos
else {
mediana[i] = NA
media[i] = NA
moda[i] = Moda(x = df[,i])
varianza[i] = NA
desvioEstandar[i] = NA
cv[i] = 100 * NA
asimetria[i] = NA
kurtosis[i] = NA
minimo[i] = NA
maximo[i] = NA
NAs[i] = length(which(is.na(df[,i]) == TRUE))
clases[i] = class(df[,i])
}
}
# Generar data.frame con todas las estadísticas
summary = data.frame("mínimo" = minimo,
"máximo" = maximo,
"media" = media,
"mediana" = mediana,
"moda" = moda,
"varianza" = varianza,
"ds" = desvioEstandar,
"cv" = cv,
"asimetría" = asimetria,
"kurtosis" = kurtosis,
"NAs" = NAs,
"clase" = clases)
# Asignar el nombre de las variables (columnas)
# como nombre de las filas para el objeto de salida
rownames(summary) <- colnames(df)
# Retorno de la función
return(summary)
}Se llamó a la función ResumenEstadisticas pasando como parámetro el data.frame llamado data contenido en el objeto espacial datosRindeMaiz y se asignó el retorno de la función a un nuevo objeto llamado resumenDatosRindeMaiz. Además, se imprimió en consola el resultado de la ejecución del comando.
# Crear objeto con las principales estadísticas y mostrarlo en consola
(resumenDatosRindeMaiz <- ResumenEstadisticas(df = datosRindeMaiz@data))## mínimo máximo media mediana moda varianza
## ID 1.0000 2310.0000 1155.500000 1155.50000 1.000 4.448675e+05
## Elev 241.9100 247.5000 244.310848 244.26000 242.770 1.560964e+00
## NapaDicC1 2.1200 6.6600 4.070797 3.98000 3.690 7.859209e-01
## NapaDicC2 1.6300 6.0600 3.442294 3.31000 3.030 7.373578e-01
## maizC1 0.9800 17.0850 9.134139 8.85935 7.000 7.433428e+00
## maizC2 1.9381 12.2521 7.552832 7.99375 9.402 3.309716e+00
## ds cv asimetría kurtosis NAs clase
## ID 666.9838829 57.7225342 0.0000000 1.800000 0 integer
## Elev 1.2493853 0.5113916 0.2129448 2.135257 0 numeric
## NapaDicC1 0.8865218 21.7776002 0.1903320 2.875718 0 numeric
## NapaDicC2 0.8586954 24.9454385 0.4559732 2.906922 0 numeric
## maizC1 2.7264314 29.8488072 0.3713567 2.693631 2 numeric
## maizC2 1.8192624 24.0871547 -0.5174745 2.397373 0 numeric# Marcar celdas vacías
NAs <- which(is.na(datosRindeMaiz$maizC1))A través del objeto resumenDatosRindeMaiz fue posible obtener el/los estadístico/s necesarios. Por ejemplo:
- Obtener el valor de la mediana del Rendimiento del maíz para la Campaña 1
# Ejemplo 1
(resumenDatosRindeMaiz["maizC1", "mediana"])## [1] 8.85935- Obtener los valores de mínimo y máximo de la Elevación
# Ejemplo 2
(resumenDatosRindeMaiz["Elev", c("mínimo","máximo")])## mínimo máximo
## Elev 241.91 247.5Se observaron dos celdas vacías para los datos de rendimiento de maíz de la campaña 2. Todas las variables fueron de tipo numéricas a excepción de la variable identificadora ID que fue un entero.
Tendencia central
Los valores de la media (\(\overline{z}\)) y la mediana (\(Md\)) del rendimiento de maíz para la campaña 1 fueron mayores que para la campaña 2 (\(\overline{z}_{Rm1} = 9.13 \ {t}.{ha}^{-1}\), \(Md_{Rm1} = 8.86 \ {t}.{ha}^{-1}\) y \(\overline{z}_{Rm2} = 7.55 \ {t}.{ha}^{-1}\), \(Md_{Rm2} = 7.99 \ {t}.{ha}^{-1}\)) mientras que el valor de la moda (\(Mo\)) fue de \(Mo_{Rm1} = 7.00 \ {t}.{ha}^{-1}\) y \(Mo_{Rm1} = 9.40 \ {t}.{ha}^{-1}\) respectivamente.
Los valores de la media y la mediana de la profundidad de la napa para la campaña 1 (\(\overline{z} = 4.07 \ m\), \(Md = 3.98 \ m\)) fueron mayores que para la campaña 2 (\(\overline{z} = 3.44 \ m\), \(Md = 3.31 \ m\)) mientras que el valor de la moda fue de \(3.69 \ m\) y \(3.03 \ m\) respectivamente.
Los valores de la media, la mediana y la moda para la elevación fueron de \(244.31 \ m\), \(244.26 \ m\) y \(242.77 \ m\) respectivamente.
Dispersión
El rango (\({R} = x_{min},x_{max}\)) de la variable del rendimiento de maíz para la campaña 1 fue mayor y con valores más altos y más bajos que para la campaña 2 (\(R_{Rm1} = 0.9800 \ {t}.{ha}^{-1},\ 17.0850 \ {t}.{ha}^{-1}\), \(R_{Rm2} = 1.9381 \ {t}.{ha}^{-1},\ 12.2521 \ {t}.{ha}^{-1}\)), para la variable profundidad de napa el rango fue similar para las dos campañas(\(R_{Pn1} = 2.12 \ m,\ 6.66 \ m\), \(R_{Pn2} = 1.63 \ m,\ 6.06 \ m\)) y el rango de la elevación fue de \(R_{El} = 241.91 \ m,\ 247.50 \ m\).
Los valores de la varianza y la mediana del rendimiento de maíz para la campaña 1
Normalidad
Para analizar la normalidad de las variables se realizó la prueba de normalidad de Shapiro-Wilk. La hipótesis nula de la prueba de Shapiro-Wilk es que los datos son normales, por lo cual un p-valor significativo indicó que se rechazó la hipótesis nula, es decir que la variable analizada fuese normal.
# Elevación
shapiro.test(datosRindeMaiz$Elev) ##
## Shapiro-Wilk normality test
##
## data: datosRindeMaiz$Elev
## W = 0.97116, p-value < 2.2e-16# Profundidad de la napa (C1)
shapiro.test(datosRindeMaiz$NapaDicC1)##
## Shapiro-Wilk normality test
##
## data: datosRindeMaiz$NapaDicC1
## W = 0.99124, p-value = 1.297e-10# Profundidad de la napa (C2)
shapiro.test(datosRindeMaiz$NapaDicC2)##
## Shapiro-Wilk normality test
##
## data: datosRindeMaiz$NapaDicC2
## W = 0.98135, p-value < 2.2e-16# Rendimiento del maíz (C1)
shapiro.test(datosRindeMaiz$maizC1) ##
## Shapiro-Wilk normality test
##
## data: datosRindeMaiz$maizC1
## W = 0.98251, p-value = 3.07e-16# Rendimiento del maíz (C2)
shapiro.test(datosRindeMaiz$maizC2)##
## Shapiro-Wilk normality test
##
## data: datosRindeMaiz$maizC2
## W = 0.95925, p-value < 2.2e-16Para el rendimiento de maíz y las covariables ambientales se rechazó la hipótesis nula de la prueba de normalidad de Shapiro-Wilk.
Transformaciones
Se transformó los datos originales a nuevas escalas para acercarlos a una distribución normal. Se probaron las transformaciones logarítmicas, raíz cuadrada y Box-Cox.
# Transformar elevación
# Logaritmo
ElevLog <- log(datosRindeMaiz@data$Elev)
shapiro.test(ElevLog) # Probar normalidad de la transformación##
## Shapiro-Wilk normality test
##
## data: ElevLog
## W = 0.97134, p-value < 2.2e-16# Raíz cuadrada
ElevSqrt <- sqrt(datosRindeMaiz@data$Elev)
shapiro.test(ElevSqrt) # Probar normalidad de la transformación##
## Shapiro-Wilk normality test
##
## data: ElevSqrt
## W = 0.97125, p-value < 2.2e-16# Box-Cox
lambdaElev <- BoxCox.lambda(x = datosRindeMaiz@data$Elev) # Hallar Lambda
ElevBC <- BoxCox(x = datosRindeMaiz@data$Elev, lambda = lambdaElev) # Transf.vector
shapiro.test(ElevBC) # Probar normalidad de la transformación ##
## Shapiro-Wilk normality test
##
## data: ElevBC
## W = 0.9715, p-value < 2.2e-16# Transformar profundidad napa (C1)
# Logaritmo
NapaDicC1Log <- log(datosRindeMaiz@data$NapaDicC1)
shapiro.test(NapaDicC1Log) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC1Log
## W = 0.98123, p-value < 2.2e-16# Raíz cuadrada
NapaDicC1Sqrt <- sqrt(datosRindeMaiz@data$NapaDicC1)
shapiro.test(NapaDicC1Sqrt) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC1Sqrt
## W = 0.99189, p-value = 4.568e-10# Box-Cox
lambdaNapaDicC1 <- BoxCox.lambda(x = datosRindeMaiz@data$NapaDicC1)
NapaDicC1BC <- BoxCox(x = datosRindeMaiz@data$NapaDicC1, lambda = lambdaNapaDicC1)
shapiro.test(NapaDicC1BC) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC1BC
## W = 0.9875, p-value = 2.42e-13# Transformar profundidad napa (C2)
# Logaritmo
NapaDicC2Log <- log(datosRindeMaiz@data$NapaDicC2)
shapiro.test(NapaDicC2Log) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC2Log
## W = 0.99209, p-value = 6.856e-10# Raíz cuadrada
NapaDicC2Sqrt <- sqrt(datosRindeMaiz@data$NapaDicC2)
shapiro.test(NapaDicC2Sqrt) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC2Sqrt
## W = 0.99313, p-value = 6.067e-09# Box-Cox
lambdaNapaDicC2 <- BoxCox.lambda(x = datosRindeMaiz@data$NapaDicC2)
NapaDicC2BC <- BoxCox(x = datosRindeMaiz@data$NapaDicC2, lambda = lambdaNapaDicC2)
shapiro.test(NapaDicC2BC) ##
## Shapiro-Wilk normality test
##
## data: NapaDicC2BC
## W = 0.99138, p-value = 1.709e-10# Transformar rendimiento maíz (C1)
# Logaritmo
maizC1Log <- log(datosRindeMaiz@data$maizC1)
shapiro.test(maizC1Log) ##
## Shapiro-Wilk normality test
##
## data: maizC1Log
## W = 0.96474, p-value < 2.2e-16# Raíz cuadrada
maizC1Sqrt <- sqrt(datosRindeMaiz@data$maizC1)
shapiro.test(maizC1Sqrt) ##
## Shapiro-Wilk normality test
##
## data: maizC1Sqrt
## W = 0.99035, p-value = 2.61e-11# Box-Cox
lambdaMaizC1Log <- BoxCox.lambda(x = datosRindeMaiz@data$maizC1)
maizC1BC <- BoxCox(x = datosRindeMaiz@data$maizC1, lambda = lambdaMaizC1Log)
shapiro.test(maizC1BC) ##
## Shapiro-Wilk normality test
##
## data: maizC1BC
## W = 0.9473, p-value < 2.2e-16# Transformar rendimiento maíz (C2)
# Logaritmo
maizC2Log <- log(datosRindeMaiz@data$maizC2)
shapiro.test(maizC2Log) ##
## Shapiro-Wilk normality test
##
## data: maizC2Log
## W = 0.90957, p-value < 2.2e-16# Raíz cuadrada
maizC2Sqrt <- sqrt(datosRindeMaiz@data$maizC2)
shapiro.test(maizC2Sqrt) ##
## Shapiro-Wilk normality test
##
## data: maizC2Sqrt
## W = 0.93893, p-value < 2.2e-16# Box-Cox
lambdaMaizC2Log <- BoxCox.lambda(x = datosRindeMaiz@data$maizC2)
maizC2BC <- BoxCox(x = datosRindeMaiz@data$maizC2, lambda = lambdaMaizC2Log)
shapiro.test(maizC2BC) ##
## Shapiro-Wilk normality test
##
## data: maizC2BC
## W = 0.96354, p-value < 2.2e-16Ninguna de las transformaciones de los datos permitió que se pudiera fallar en rechazar la hipótesis nula de normalidad del test de Shapiro-Wilk.
Q-Q Plots
# Q-Q plot rendimiento maíz (C1)
ggQQmaizC1 <- ggDatosRindeMaiz +
geom_qq(aes(sample = maizC1)) +
geom_abline(intercept = mean(datosRindeMaiz@data$maizC1, na.rm = TRUE),
slope = sd(datosRindeMaiz@data$maizC1, na.rm = TRUE), col = "red") +
labs(title = "Rend.maíz C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC1Log <- ggDatosRindeMaiz +
geom_qq(aes(sample = log(maizC1))) +
geom_abline(intercept = mean(log(datosRindeMaiz@data$maizC1), na.rm = TRUE),
slope = sd(log(datosRindeMaiz@data$maizC1), na.rm = TRUE), col = "red") +
labs(title = "Log Rend.maíz C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC1Sqrt <- ggDatosRindeMaiz +
geom_qq(aes(sample = sqrt(maizC1))) +
geom_abline(intercept = mean(sqrt(datosRindeMaiz@data$maizC1), na.rm = TRUE),
slope = sd(sqrt(datosRindeMaiz@data$maizC1), na.rm = TRUE), col = "red") +
labs(title = "Raíz cuadrada Rend.maíz C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC1BC <- ggDatosRindeMaiz +
geom_qq(aes(sample = maizC1BC)) +
geom_abline(intercept = mean(maizC1BC, na.rm = TRUE),
slope = sd(maizC1BC, na.rm = TRUE), col = "red") +
labs(title = "Box-Cox Rend.maíz C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
# Q-Q plot rendimiento maíz (C2)
ggQQmaizC2 <- ggDatosRindeMaiz +
geom_qq(aes(sample = maizC2)) +
geom_abline(intercept = mean(datosRindeMaiz@data$maizC2, na.rm = TRUE),
slope = sd(datosRindeMaiz@data$maizC2, na.rm = TRUE), col = "red") +
labs(title = "Rend.maíz C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC2Log <- ggDatosRindeMaiz +
geom_qq(aes(sample = log(maizC2))) +
geom_abline(intercept = mean(log(datosRindeMaiz@data$maizC2), na.rm = TRUE),
slope = sd(log(datosRindeMaiz@data$maizC2), na.rm = TRUE), col = "red") +
labs(title = "Log Rend.maíz C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC2Sqrt <- ggDatosRindeMaiz +
geom_qq(aes(sample = sqrt(maizC2))) +
geom_abline(intercept = mean(sqrt(datosRindeMaiz@data$maizC2), na.rm = TRUE),
slope = sd(sqrt(datosRindeMaiz@data$maizC2), na.rm = TRUE), col = "red") +
labs(title = "Raíz cuadrada Rend.maíz C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQmaizC2BC <- ggDatosRindeMaiz +
geom_qq(aes(sample = maizC2BC)) +
geom_abline(intercept = mean(maizC2BC, na.rm = TRUE),
slope = sd(maizC2BC, na.rm = TRUE), col = "red") +
labs(title = "Box-Cox Rend.maíz C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
# Q-Q plot profundidad de la napa (C1)
ggQQNapaDicC1 <- ggDatosRindeMaiz +
geom_qq(aes(sample = NapaDicC1)) +
geom_abline(intercept = mean(datosRindeMaiz@data$NapaDicC1),
slope = sd(datosRindeMaiz@data$NapaDicC1), col = "red") +
labs(title = "Prof.napa C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC1Log <- ggDatosRindeMaiz +
geom_qq(aes(sample = log(NapaDicC1))) +
geom_abline(intercept = mean(log(datosRindeMaiz@data$NapaDicC1)),
slope = sd(log(datosRindeMaiz@data$NapaDicC1)), col = "red") +
labs(title = "Log Prof.napa C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC1Sqrt <- ggDatosRindeMaiz +
geom_qq(aes(sample = sqrt(NapaDicC1))) +
geom_abline(intercept = mean(sqrt(datosRindeMaiz@data$NapaDicC1)),
slope = sd(sqrt(datosRindeMaiz@data$NapaDicC1)), col = "red") +
labs(title = "Raíz cuadrada Prof.napa C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC1BC <- ggDatosRindeMaiz +
geom_qq(aes(sample = NapaDicC1BC)) +
geom_abline(intercept = mean(NapaDicC1BC, na.rm = TRUE),
slope = sd(NapaDicC1BC, na.rm = TRUE), col = "red") +
labs(title = "Box-Cox Prof.napa C1", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
# Q-Q plot profundidad de la napa (C2)
ggQQNapaDicC2 <- ggDatosRindeMaiz +
geom_qq(aes(sample = NapaDicC2)) +
geom_abline(intercept = mean(datosRindeMaiz@data$NapaDicC2),
slope = sd(datosRindeMaiz@data$NapaDicC2), col = "red") +
labs(title = "Prof.napa C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC2Log <- ggDatosRindeMaiz +
geom_qq(aes(sample = log(NapaDicC2))) +
geom_abline(intercept = mean(log(datosRindeMaiz@data$NapaDicC2)),
slope = sd(log(datosRindeMaiz@data$NapaDicC2)), col = "red") +
labs(title = "Log Prof.napa C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC2Sqrt <- ggDatosRindeMaiz +
geom_qq(aes(sample = sqrt(NapaDicC2))) +
geom_abline(intercept = mean(sqrt(datosRindeMaiz@data$NapaDicC2)),
slope = sd(sqrt(datosRindeMaiz@data$NapaDicC2)), col = "red") +
labs(title = "Raíz cuadrada Prof.napa C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQNapaDicC2BC <- ggDatosRindeMaiz +
geom_qq(aes(sample = NapaDicC2BC)) +
geom_abline(intercept = mean(NapaDicC2BC, na.rm = TRUE),
slope = sd(NapaDicC2BC, na.rm = TRUE), col = "red") +
labs(title = "Box-Cox Prof.napa C2", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
# Q-Q plot elevación
ggQQElev <- ggDatosRindeMaiz +
geom_qq(aes(sample = Elev)) +
geom_abline(intercept = mean(datosRindeMaiz@data$Elev),
slope = sd(datosRindeMaiz@data$Elev), col = "red") +
labs(title = "Elevación", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQElevLog <- ggDatosRindeMaiz +
geom_qq(aes(sample = log(Elev))) +
geom_abline(intercept = mean(log(datosRindeMaiz@data$Elev)),
slope = sd(log(datosRindeMaiz@data$Elev)), col = "red") +
labs(title = "Log Elevación", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQElevSqrt <- ggDatosRindeMaiz +
geom_qq(aes(sample = sqrt(Elev))) +
geom_abline(intercept = mean(sqrt(datosRindeMaiz@data$Elev)),
slope = sd(sqrt(datosRindeMaiz@data$Elev)), col = "red") +
labs(title = "Raíz cuadrada Elevación", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
ggQQElevBC <- ggDatosRindeMaiz +
geom_qq(aes(sample = ElevBC)) +
geom_abline(intercept = mean(ElevBC), slope = sd(ElevBC), col = "red") +
labs(title = "Box-Cox Elevación", x = "Cuantiles teóricos",
y = "Cuantiles de la muestra")
# Ver plots
grid.arrange(ggQQmaizC1, ggQQmaizC2, ggQQNapaDicC1, ggQQNapaDicC2, ggQQElev,
ggQQmaizC1Log, ggQQmaizC2Log, ggQQNapaDicC1Log, ggQQNapaDicC2Log,
ggQQElevLog, ggQQmaizC1Sqrt, ggQQmaizC2Sqrt, ggQQNapaDicC1Sqrt,
ggQQNapaDicC2Sqrt, ggQQElevSqrt,ggQQmaizC1BC, ggQQmaizC2BC,
ggQQNapaDicC1BC, ggQQNapaDicC2BC, ggQQElevBC,
ncol = 4, nrow = 5,
layout_matrix = cbind(c(1,2,3,4,5), c(6,7,8,9,10),
c(11,12,13,14,15), c(16,17,18,19,20))
)
A partir del análisis de los Q-Q plots (cuantiles - cuantiles) se observó que todas las transforamciones probadas no acercaron sustantivamente los datos originales a distribuciones normales. Incluso, los Q-Q plots para los datos originales confirman el desvío de los datos de una distribución normal.
Análisis de tendencias
Para analizar si existen tendencias entre el rendimiento de maíz y las covariables ambientales se realizaron gráficos de dispersión de puntos junto con lineas basadas en suavizados de la medias locales de los valores.
# Rendimiento maíz vs Longitud
ggTend_MaizC1VsLong <- ggDatosRindeMaiz +
geom_point(aes(y = maizC1, x = datosRindeMaiz@coords[,"Long"])) +
geom_smooth(aes(y = maizC1, x = datosRindeMaiz@coords[,"Long"])) +
labs(title = "", x = "Longitud", y = "Rendimiento maíz C1 (t/ha)")
ggTend_MaizC2VsLong <- ggDatosRindeMaiz +
geom_point(aes(y = maizC2, x = datosRindeMaiz@coords[,"Long"])) +
geom_smooth(aes(y = maizC2, x = datosRindeMaiz@coords[,"Long"])) +
labs(title = "", x = "Longitud", y = "Rendimiento maíz C2 (t/ha)")
# Rendimiento maíz vs Latitud
ggTend_MaizC1VsLat <- ggDatosRindeMaiz +
geom_point(aes(y = maizC1, x = datosRindeMaiz@coords[,"Lat"])) +
geom_smooth(aes(y = maizC1, x = datosRindeMaiz@coords[,"Lat"])) +
labs(title = "", x = "Latitud", y = "Rendimiento maíz C1 (t/ha)")
ggTend_MaizC2VsLat <- ggDatosRindeMaiz +
geom_point(aes(y = maizC2, x = datosRindeMaiz@coords[,"Lat"])) +
geom_smooth(aes(y = maizC2, x = datosRindeMaiz@coords[,"Lat"])) +
labs(title = "", x = "Latitud", y = "Rendimiento maíz C2 (t/ha)")
# Rendimiento maíz vs Elevación
ggTend_MaizC1VsElev <- ggDatosRindeMaiz +
geom_point(aes(y = maizC1, x = Elev)) +
geom_smooth(aes(y = maizC1, x = Elev)) +
labs(title = "", y = "Rendimiento maíz C1 (t/ha)",
x = "Elevación (m)")
ggTend_MaizC2VsElev <- ggDatosRindeMaiz +
geom_point(aes(y = maizC2, x = Elev)) +
geom_smooth(aes(y = maizC2, x = Elev)) +
labs(title = "", y = "Rendimiento maíz C2 (t/ha)",
x = "Elevación (m)")
# Rendimiento maíz vs Profundidad de la napa
ggTend_MaizC1VsNapaDicC1 <- ggDatosRindeMaiz +
geom_point(aes(y = maizC1, x = NapaDicC1)) +
geom_smooth(aes(y = maizC1, x = NapaDicC1)) +
labs(title = "", y = "Rendimiento maíz C1 (t/ha)",
x = "Profundidad napa (m)")
ggTend_MaizC2VsNapaDicC2 <- ggDatosRindeMaiz +
geom_point(aes(y = maizC2, x = NapaDicC2)) +
geom_smooth(aes(y = maizC2, x = NapaDicC2)) +
labs(title = "", y = "Rendimiento maíz C2 (t/ha)",
x = "Profundidad napa (m)")
# Profundidad de la napa vs Elevación
ggTend_NapaDicC1VsElev <- ggDatosRindeMaiz +
geom_point(aes(x = Elev, y = NapaDicC1)) +
geom_smooth(aes(x = Elev, y = NapaDicC1)) +
labs(title = "", x = "Elevación (m)", y = "Profundidad napa (m)")
ggTend_NapaDicC2VsElev <- ggDatosRindeMaiz +
geom_point(aes(y = Elev, x = NapaDicC2)) +
geom_smooth(aes(y = Elev, x = NapaDicC2)) +
labs(title = "", x = "Elevación (m)", y = "Profundidad napa (m)")
# Ver plots
grid.arrange(ggTend_MaizC1VsLong, ggTend_MaizC1VsLat,
ggTend_MaizC1VsElev, ggTend_MaizC1VsNapaDicC1,
ggTend_MaizC2VsLong, ggTend_MaizC2VsLat,
ggTend_MaizC2VsElev, ggTend_MaizC2VsNapaDicC2,
ggTend_NapaDicC1VsElev, ggTend_NapaDicC2VsElev,
ncol = 4, nrow = 3,
layout_matrix = rbind(c(1,2,3,4), c(5,6,7,8), c(NA,9,10,NA))
)
A partir de los gráficos de dispersión y suavizado de medias, no se observó una tendencia entre el rendimiento de maíz y la latitud o longitud. Sin embargo, se observaron tendencias negativas entre el rendimiento de maíz y la elevación y también con la profundidad de la napa para las dos campañas. Se observó que el rendimiento de maíz decrece con la elevación del terreno y la profundidad de la napa. Asimismo, se observó una tendencia positiva entre la profundidad de la napa y la elevación.
Correlación
Se calculó el coeficiente de correlación de Pearson (\(r\)) para cuantificar la relación entre las variables para las cuales se observó tendencia y para las que no. Para complementar la interpretación, se realizaron correlogramas para visualizar la matriz de correlaciones.
# Rendimiento maíz vs Longitud para C1
cor.test(x = datosRindeMaiz@coords[-NAs,"Long"],
y = datosRindeMaiz@data$maizC1[-NAs],
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@coords[-NAs, "Long"] and datosRindeMaiz@data$maizC1[-NAs]
## t = 1.5344, df = 2306, p-value = 0.1251
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.008876447 0.072642586
## sample estimates:
## cor
## 0.03193618# Rendimiento maíz vs Longitud para C2
cor.test(x = datosRindeMaiz@coords[,"Long"],
y = datosRindeMaiz@data$maizC2,
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@coords[, "Long"] and datosRindeMaiz@data$maizC2
## t = 11.793, df = 2308, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1995606 0.2764987
## sample estimates:
## cor
## 0.2384037# Rendimiento maíz vs Latitud para C1
cor.test(x = datosRindeMaiz@coords[-NAs,"Lat"],
y = datosRindeMaiz@data$maizC1[-NAs],
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@coords[-NAs, "Lat"] and datosRindeMaiz@data$maizC1[-NAs]
## t = 17.82, df = 2306, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3115241 0.3832638
## sample estimates:
## cor
## 0.3479031# Rendimiento maíz vs Latitud para C2
cor.test(x = datosRindeMaiz@coords[,"Lat"],
y = datosRindeMaiz@data$maizC2,
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@coords[, "Lat"] and datosRindeMaiz@data$maizC2
## t = 5.8751, df = 2308, p-value = 4.836e-09
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.08100608 0.16137293
## sample estimates:
## cor
## 0.1213884# Rendimiento maíz vs Elevación para C1
cor.test(x = datosRindeMaiz@data$Elev[-NAs],
y = datosRindeMaiz@data$maizC1[-NAs],
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$Elev[-NAs] and datosRindeMaiz@data$maizC1[-NAs]
## t = -32.254, df = 2306, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.5850616 -0.5287992
## sample estimates:
## cor
## -0.5575704# Rendimiento maíz vs Elevación para C2
cor.test(x = datosRindeMaiz@data$Elev,
y = datosRindeMaiz@data$maizC2,
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$Elev and datosRindeMaiz@data$maizC2
## t = -51.115, df = 2308, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.7472524 -0.7089611
## sample estimates:
## cor
## -0.7286757# Rendimiento maíz vs Profundidad de la napa para C1
cor.test(x = datosRindeMaiz@data$NapaDicC1[-NAs],
y = datosRindeMaiz@data$maizC1[-NAs],
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$NapaDicC1[-NAs] and datosRindeMaiz@data$maizC1[-NAs]
## t = -80.658, df = 2306, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.8695615 -0.8481802
## sample estimates:
## cor
## -0.8592456# Rendimiento maíz vs Profundidad de la napa para C2
cor.test(x = datosRindeMaiz@data$NapaDicC2,
y = datosRindeMaiz@data$maizC2,
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$NapaDicC2 and datosRindeMaiz@data$maizC2
## t = -74.21, df = 2308, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.8510958 -0.8269790
## sample estimates:
## cor
## -0.8394502# Profundidad de la napa vs Elevación para C1
cor.test(x = datosRindeMaiz@data$NapaDicC1[-NAs],
y = datosRindeMaiz@data$Elev[-NAs],
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$NapaDicC1[-NAs] and datosRindeMaiz@data$Elev[-NAs]
## t = 43.721, df = 2306, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.6502840 0.6949353
## sample estimates:
## cor
## 0.6732229# Profundidad de la napa vs Elevación para C2
cor.test(x = datosRindeMaiz@data$NapaDicC2,
y = datosRindeMaiz@data$Elev,
method = "pearson")##
## Pearson's product-moment correlation
##
## data: datosRindeMaiz@data$NapaDicC2 and datosRindeMaiz@data$Elev
## t = 53.189, df = 2308, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.7232072 0.7598875
## sample estimates:
## cor
## 0.7421024En los siguientes correlogramas las celdas de colores azules y con un patrón de relleno de líneas con una pendiente positiva representan correlaciones positivas y las celdas de colores rojos con un patrón de relleno de líneas con una pendiente negativa representan correlaciones negativas. La intensidad del color es proporcional a la magnitud del coeficiente de correlación de Pearson.
# Correlograma C1
corrgram(data.frame("Rend.maíz" = datosRindeMaiz@data$maizC1,
"Long" = datosRindeMaiz@coords[,"Long"],
"Lat" = datosRindeMaiz@coords[,"Lat"],
"Elev" = datosRindeMaiz@data$Elev,
"Prof.napa" = datosRindeMaiz@data$NapaDicC1),
cor.method="pearson",
order = NULL,
lower.panel = panel.shade,
upper.panel = NULL,
text.panel = panel.txt,
main = "Correlograma - C1")
# Correlograma C2
corrgram(data.frame("Rend.maíz" = datosRindeMaiz@data$maizC2,
"Long" = datosRindeMaiz@coords[,"Long"],
"Lat" = datosRindeMaiz@coords[,"Lat"],
"Elev" = datosRindeMaiz@data$Elev,
"Prof.napa" = datosRindeMaiz@data$NapaDicC2),
cor.method="pearson",
order = NULL,
lower.panel = panel.shade,
upper.panel = NULL,
text.panel = panel.txt,
main = "Correlograma - C2")
Se observó que la correlación entre el rendimiento de maíz con la latitud y la longitud fueron bajas (\(0 < r < 0.35\)), confirmando una tendencia despreciable. Por otro lado, se observó que la correlación fue alta para el rendimiento de maíz con la Elevación (\(r_{C1} = -0.56\) y \(r_{C2} = -0.73\)) y aún fue mayor para la Profundidad de la napa (\(r_{C1} = -0.86\) y \(r_{C2} = -0.84\)). Se confirmó que existe una tendencia negativa entre el rendimiento de maíz y la elevación y entre el rendimiento de maíz y la profundidad de la napa. También se observó que existe una correlación positiva entre la profundidad de la napa y la elevación (\(r_{C1} = 0.67\) y \(r_{C2} = 0.74\))
Para definir el modelo de tendencia del rendimiento de maíz, se evaluaron tres modelos de regresiones lineales:
- Modelo de tendencia basado en una regresión lineal múltiple del rendimiento de maíz con la profundidad de la napa y la elevación.
- Modelo de tendencia basado en una regresión lineal simple del rendimiento de maíz con la profundidad de la napa.
- Modelo de tendencia basado en una regresión lineal simple del rendimiento de maíz con la elevación.
Se utilizó el criterio de información de Akaike (\(AIC\)) para definir el modelo (a menor \(AIC\) mejor ajuste).
# Ajuste de moelos para C1
ajusteC1.M1 <- lm(formula = maizC1 ~ NapaDicC1 + Elev, data = datosRindeMaiz)
ajusteC1.M2 <- lm(formula = maizC1 ~ NapaDicC1, data = datosRindeMaiz)
ajusteC1.M3 <- lm(formula = maizC1 ~ Elev, data = datosRindeMaiz)
# Criterio de Información de Akaike
AIC(ajusteC1.M1, ajusteC1.M2, ajusteC1.M3)## df AIC
## ajusteC1.M1 4 8085.556
## ajusteC1.M2 3 8090.608
## ajusteC1.M3 3 10325.262# Ajuste de moelos para C2
ajusteC2.M1 <- lm(formula = maizC2 ~ NapaDicC2 + Elev, data = datosRindeMaiz)
ajusteC2.M2 <- lm(formula = maizC2 ~ NapaDicC2, data = datosRindeMaiz)
ajusteC2.M3 <- lm(formula = maizC2 ~ Elev, data = datosRindeMaiz)
# Criterio de Información de Akaike
AIC(ajusteC2.M1, ajusteC2.M2, ajusteC2.M3)## df AIC
## ajusteC2.M1 4 6306.514
## ajusteC2.M2 3 6507.776
## ajusteC2.M3 3 7576.382El mejor modelo de tendencia para las dos campañas del rendimiento de maíz según el criterio de información de Akaike fue el de regresión múltiple (\(y = \beta_{1}x_{1} + \beta_{2}x_{1} + \beta_{0}\)). Además, se calcularon métricas para conocer la importancia relativa de cada una de las variables en el modelo.
# Calcular la importancia relativa para cada predictor - C1
impRel.C1.M1 <- calc.relimp(ajusteC1.M1,
type = c("lmg", "last", "first", "pratt"),
rela = TRUE)
# Resumen
(impRel.C1.M1)## Response variable: maizC1
## Total response variance: 7.433428
## Analysis based on 2308 observations
##
## 2 Regressors:
## NapaDicC1 Elev
## Proportion of variance explained by model: 73.91%
## Metrics are normalized to sum to 100% (rela=TRUE).
##
## Relative importance metrics:
##
## lmg last first pratt
## NapaDicC1 0.7891472 0.99813902 0.7036901 1.02882704
## Elev 0.2108528 0.00186098 0.2963099 -0.02882704
##
## Average coefficients for different model sizes:
##
## 1X 2Xs
## NapaDicC1 -2.642097 -2.72120003
## Elev -1.216533 0.08337362# Gráfico
plot(impRel.C1.M1)
# Calcular la importancia relativa para cada predictor - C2
impRel.C2.M1 <- calc.relimp(ajusteC2.M1,
type = c("lmg", "last", "first", "pratt"),
rela = TRUE)
# Resumen
(impRel.C2.M1 )## Response variable: maizC2
## Total response variance: 3.309716
## Analysis based on 2310 observations
##
## 2 Regressors:
## NapaDicC2 Elev
## Proportion of variance explained by model: 72.96%
## Metrics are normalized to sum to 100% (rela=TRUE).
##
## Relative importance metrics:
##
## lmg last first pratt
## NapaDicC2 0.6190514 0.8886796 0.5702906 0.7649802
## Elev 0.3809486 0.1113204 0.4297094 0.2350198
##
## Average coefficients for different model sizes:
##
## 1X 2Xs
## NapaDicC2 -1.778489 -1.4085359
## Elev -1.061044 -0.3426301# Gráfico
plot(impRel.C2.M1)
La varianza explicada por el modelo elegido fue de \(73.91 \%\) y de \(72.96 \%\) para C1 y para C2 respectivamente. Se observó que la profundidad de la napa tuvo una importancia relativa mayor en el modelo de tendencia elegido que la elevación. Además, dicha observación fue más acentuada para la C1 que para la C2.
# Agregar modelo de tendencia y residuales a los datos
# C1
datosRindeMaiz$ajusteC1.M1 <-
ajusteC1.M1$coefficients["NapaDicC1"] * datosRindeMaiz$NapaDicC1 +
ajusteC1.M1$coefficients["Elev"] * datosRindeMaiz$Elev +
ajusteC1.M1$coefficients["(Intercept)"]
datosRindeMaiz$resAjusteC1.M1 <- NA
datosRindeMaiz$resAjusteC1.M1[-NAs] <- residuals(ajusteC1.M1)
# C2
datosRindeMaiz$ajusteC2.M1 <-
ajusteC2.M1$coefficients["NapaDicC2"] * datosRindeMaiz$NapaDicC2 +
ajusteC2.M1$coefficients["Elev"] * datosRindeMaiz$Elev +
ajusteC2.M1$coefficients["(Intercept)"]
datosRindeMaiz$resAjusteC2.M1 <- residuals(ajusteC2.M1)Autocorrelación espacial
Para examinar patrones de autocorrelación espacial se realizaron correlogramas espaciales basados en el índice de Moran (\(I\)) para los residuales del modelo de tendencia elegido del rendimiento de maíz. El color azul muestra autocorrelación espacial positiva mientras que el color rojo muestra autocorrelación espacial negativa.
# Índice de Moran para el rendimiento de maíz - C1
moranRendMaizC1 <- correlog(x = as.data.frame(datosRindeMaiz@coords)$Long,
y = as.data.frame(datosRindeMaiz@coords)$Lat,
z = datosRindeMaiz$resAjusteC1.M1,
increment = 100,
resamp = 0,
latlon = FALSE,
na.rm = TRUE)
# Índice de Moran para el rendimiento de maíz - C2
moranRendMaizC2 <- correlog(x = as.data.frame(datosRindeMaiz@coords)$Long,
y = as.data.frame(datosRindeMaiz@coords)$Lat,
z = datosRindeMaiz$resAjusteC2.M1,
increment = 100,
resamp = 0,
latlon = FALSE,
na.rm = TRUE)En los correlogramas se observó una baja correlación espacial positiva hasta los \(150 - 200 m\). A partir de esa distancia la correlación espacial fue aleatoria (valores entorno a cero). Para la \(C2\) se observó un valor muy alto correlación positiva para distancias mayores a \(1200 m\) que pudo deberse a la presencia de valores atípicos y/o a un \(n\) bajo para esa clase de distancia (\(n_{14} = 96\)).
# Plot correlograma
# Poligonos de tipos de correlación
polyAutocorrPos <- data.frame(
"id" = rep("1", length(moranRendMaizC2$mean.of.class)/2),
"x" = c(seq(0, max(moranRendMaizC2$mean.of.class),
length.out = length(moranRendMaizC2$mean.of.class)/2),
rev(seq(0, max(moranRendMaizC2$mean.of.class),
length.out = length(moranRendMaizC2$mean.of.class)/2))),
"y" = c(rep(0,7), rep(1,7)))
polyAutocorrNeg <- data.frame(
"id" = rep("2", length(moranRendMaizC2$mean.of.class)/2),
"x" = c(seq(0, max(moranRendMaizC2$mean.of.class),
length.out = length(moranRendMaizC2$mean.of.class)/2),
rev(seq(0, max(moranRendMaizC2$mean.of.class),
length.out = length(moranRendMaizC2$mean.of.class)/2))),
"y" = c(rep(0,7), rep(-0.2,7)))
# Índice de Moran para el rendimiento de maíz - C1
ggMoranRendMaizC1 <- ggplot(data.frame("intervalos" = moranRendMaizC1$mean.of.class,
"correlación" = moranRendMaizC1$correlation)) +
geom_polygon(aes(x = polyAutocorrPos$x, y = polyAutocorrPos$y,
group = polyAutocorrPos$id),
fill = "darkblue", alpha = 0.6) +
geom_polygon(aes(x = polyAutocorrNeg$x, y = polyAutocorrNeg$y,
group = polyAutocorrNeg$id),
fill = "darkred", alpha = 0.6) +
geom_point(aes(x = intervalos, y = correlación), size = 3) +
geom_line(aes(x = intervalos, y = correlación)) +
labs(title = "Índice de Moran - C1",
x = "Intervalos de distancia",
y = "Correlación espacial") +
scale_x_continuous(limits = c(0, max(moranRendMaizC1$mean.of.class)),
breaks = seq(0, max(moranRendMaizC1$mean.of.class), 100)) +
scale_y_continuous(limits = c(-0.2, 1), breaks = seq(-0.2, 1, 0.2))
# Plot correlograma
# Índice de Moran para el rendimiento de maíz - C2
ggMoranRendMaizC2 <- ggplot(data.frame("intervalos" = moranRendMaizC2$mean.of.class,
"correlación" = moranRendMaizC2$correlation)) +
geom_polygon(aes(x = polyAutocorrPos$x, y = polyAutocorrPos$y,
group = polyAutocorrPos$id),
fill = "darkblue", alpha = 0.6) +
geom_polygon(aes(x = polyAutocorrNeg$x, y = polyAutocorrNeg$y,
group = polyAutocorrNeg$id),
fill = "darkred", alpha = 0.6) +
geom_point(aes(x = intervalos, y = correlación), size = 3) +
geom_line(aes(x = intervalos, y = correlación)) +
labs(title = "Índice de Moran - C2",
x = "Intervalos de distancia",
y = "Correlación espacial") +
scale_x_continuous(limits = c(0, max(moranRendMaizC2$mean.of.class)),
breaks = seq(0, max(moranRendMaizC2$mean.of.class), 100)) +
scale_y_continuous(limits = c(-0.2, 1), breaks = seq(-0.2, 1, 0.2))
# Ver plot
grid.arrange(ggMoranRendMaizC1, ggMoranRendMaizC2,
ncol = 2, nrow = 1,
layout_matrix = cbind(1,2)
)
Identificación de valores atípicos espaciales
Para detectar valores atípicos espaciales se analizó el gráfico de dispersión de Moran que permite evaluar que tan similar es un valor observado respecto a las observaciones de sus vecinos en el espacio. Los puntos en los cuadrantes superior derecho e inferior izquierdo indican una asociación espacial positiva de valores que son más altos y más bajos que la media muestral respectivamente. Los puntos de los cuadrantes inferior derecho y superior izquierdo incluyen observaciones que indican una asociación espacial negativa, es decir, poseen poca similitud con sus vecinos.
# Crear matriz de vecinos por distancias
nbC1 <- dnearneigh(datosRindeMaiz[-NAs,], 0, 25)
nbC2 <- dnearneigh(datosRindeMaiz, 0, 25)
# Plotear matriz espacial de vecinos
plot.nb(x = nbC1, coords = datosRindeMaiz@coords[-NAs,], col = "red")
plot.nb(x = nbC2, coords = datosRindeMaiz@coords, col = "red")
# Plot de dispersión de Moran
moranPlotC1 <- moran.plot(x = datosRindeMaiz$resAjusteC1.M1[-NAs],
listw = nb2listw(nbC1),
labels = as.character(1:nrow(datosRindeMaiz[-NAs])),
pch = 19,
cex = 0.3,
col = "darkred",
ylab = "Valores espacialmente retrasados",
xlab = "Residuales",
main = "C1")
moranPlotC2 <- moran.plot(x = datosRindeMaiz$resAjusteC2.M1,
listw = nb2listw(nbC2),
labels = as.character(1:nrow(datosRindeMaiz)),
pch = 19,
cex = 0.3,
col = "darkred",
ylab = "Valores espacialmente retrasados",
xlab = "Residuales",
main = "C2")
# Filas de puntos influyentes
ptosInfC1 <- as.numeric(rownames(summary(moranPlotC1)))## Potentially influential observations of
## lm(formula = wx ~ x) :
##
## dfb.1_ dfb.x dffit cov.r cook.d hat
## 2 -0.06 -0.09 -0.11_* 0.99_* 0.01 0.00
## 14 0.06 -0.06 0.09_* 0.99_* 0.00 0.00
## 26 0.01 -0.02 0.02 1.00_* 0.00 0.00
## 30 0.05 -0.11 0.12_* 1.00 0.01 0.00
## 31 -0.04 0.01 -0.05 1.00_* 0.00 0.00
## 39 0.06 -0.15 0.16_* 1.00_* 0.01 0.00_*
## 40 0.01 -0.03 0.04 1.00_* 0.00 0.00_*
## 41 0.01 -0.04 0.04 1.01_* 0.00 0.01_*
## 42 -0.08 0.26 -0.27_* 0.99_* 0.04 0.00_*
## 81 -0.07 -0.12 -0.14_* 0.99_* 0.01 0.00
## 83 -0.05 0.05 -0.07 1.00_* 0.00 0.00
## 84 0.10 -0.41 0.42_* 0.99_* 0.09 0.01_*
## 132 0.09 -0.21 0.23_* 0.99_* 0.03 0.00_*
## 168 -0.01 -0.02 -0.02 1.00_* 0.00 0.00
## 248 0.10 -0.19 0.21_* 0.98_* 0.02 0.00
## 303 0.01 0.01 0.02 1.00_* 0.00 0.00
## 347 0.01 0.02 0.03 1.00_* 0.00 0.00
## 391 0.00 0.00 0.01 1.00_* 0.00 0.00
## 430 0.06 0.03 0.06 1.00_* 0.00 0.00
## 462 0.00 -0.01 -0.01 1.00_* 0.00 0.00
## 472 -0.05 -0.11 -0.12_* 1.00 0.01 0.00
## 477 0.05 -0.05 0.08 1.00_* 0.00 0.00
## 503 0.00 0.01 0.01 1.00_* 0.00 0.00
## 505 0.05 -0.08 0.09_* 1.00_* 0.00 0.00
## 527 -0.07 0.03 -0.07 0.99_* 0.00 0.00
## 528 0.01 -0.03 0.03 1.00_* 0.00 0.00_*
## 532 0.00 0.00 0.00 1.00_* 0.00 0.00
## 568 0.01 -0.01 0.01 1.00_* 0.00 0.00
## 570 0.00 0.01 -0.01 1.00_* 0.00 0.00_*
## 571 -0.04 0.09 -0.10_* 1.00 0.00 0.00_*
## 572 -0.06 0.03 -0.07 0.99_* 0.00 0.00
## 573 0.00 0.00 0.00 1.00_* 0.00 0.00
## 574 -0.01 0.03 -0.04 1.00_* 0.00 0.00_*
## 575 0.00 0.00 0.00 1.00_* 0.00 0.00
## 585 0.00 0.01 0.01 1.00_* 0.00 0.00
## 612 -0.06 0.11 -0.13_* 1.00_* 0.01 0.00
## 613 0.06 -0.27 0.28_* 1.01_* 0.04 0.01_*
## 614 -0.05 0.08 -0.09_* 1.00 0.00 0.00
## 616 0.00 0.01 -0.01 1.00_* 0.00 0.00_*
## 618 -0.05 0.03 -0.06 1.00_* 0.00 0.00
## 619 0.00 0.00 0.00 1.00_* 0.00 0.00
## 621 0.01 -0.02 0.02 1.00_* 0.00 0.00_*
## 627 0.00 0.00 0.00 1.00_* 0.00 0.00
## 628 0.01 0.02 0.02 1.00_* 0.00 0.00
## 654 -0.07 0.10 -0.12_* 0.99_* 0.01 0.00
## 655 0.02 -0.07 0.07 1.01_* 0.00 0.01_*
## 656 -0.06 0.09 -0.11_* 1.00_* 0.01 0.00
## 658 -0.05 0.08 -0.09_* 1.00 0.00 0.00
## 659 -0.01 0.01 -0.02 1.00_* 0.00 0.00
## 662 -0.02 0.05 -0.05 1.00_* 0.00 0.00_*
## 663 0.06 -0.21 0.22_* 1.00 0.02 0.01_*
## 664 -0.09 0.00 -0.09_* 0.99_* 0.00 0.00
## 696 0.05 -0.14 0.14_* 1.00 0.01 0.00_*
## 697 -0.07 0.13 -0.15_* 0.99_* 0.01 0.00
## 699 -0.02 0.04 -0.04 1.00_* 0.00 0.00
## 700 -0.01 0.02 -0.02 1.00_* 0.00 0.00
## 705 -0.05 0.08 -0.09_* 1.00 0.00 0.00
## 708 0.00 0.01 -0.01 1.00_* 0.00 0.00
## 709 0.01 -0.03 0.03 1.00_* 0.00 0.00_*
## 710 0.00 -0.01 0.01 1.00_* 0.00 0.00
## 716 -0.05 -0.08 -0.10_* 1.00 0.00 0.00
## 738 -0.06 -0.01 -0.06 0.99_* 0.00 0.00
## 740 -0.01 0.01 -0.01 1.00_* 0.00 0.00_*
## 754 -0.01 0.03 -0.03 1.00_* 0.00 0.00
## 755 0.01 -0.01 0.02 1.00_* 0.00 0.00_*
## 780 -0.13 -0.27 -0.30_* 0.97_* 0.04 0.00
## 781 0.05 -0.09 0.10_* 1.00 0.01 0.00
## 783 -0.06 -0.02 -0.06 0.99_* 0.00 0.00
## 786 -0.05 -0.02 -0.05 1.00_* 0.00 0.00
## 789 0.00 0.01 -0.01 1.00_* 0.00 0.00
## 820 -0.06 -0.05 -0.08 0.99_* 0.00 0.00
## 826 -0.06 -0.07 -0.09_* 0.99_* 0.00 0.00
## 830 -0.05 -0.06 -0.08 1.00_* 0.00 0.00
## 869 -0.05 -0.05 -0.07 1.00_* 0.00 0.00
## 944 -0.01 -0.02 -0.02 1.00_* 0.00 0.00
## 950 -0.05 -0.07 -0.09_* 1.00 0.00 0.00
## 958 0.00 0.01 0.01 1.00_* 0.00 0.00
## 959 0.01 0.02 0.02 1.00_* 0.00 0.00_*
## 961 -0.01 -0.02 -0.02 1.00_* 0.00 0.00_*
## 962 0.01 0.01 0.01 1.00_* 0.00 0.00
## 1001 -0.04 -0.10 -0.11_* 1.00 0.01 0.00_*
## 1002 0.10 -0.04 0.11_* 0.98_* 0.01 0.00
## 1003 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1004 0.02 0.05 0.05 1.00_* 0.00 0.00_*
## 1008 0.04 -0.18 0.18_* 1.01_* 0.02 0.01_*
## 1033 0.09 0.02 0.09_* 0.99_* 0.00 0.00
## 1046 0.02 0.05 0.05 1.00_* 0.00 0.00_*
## 1047 0.02 0.05 0.05 1.00_* 0.00 0.00_*
## 1048 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1049 0.08 -0.04 0.09 0.99_* 0.00 0.00
## 1050 -0.09 0.40 -0.41_* 1.00_* 0.08 0.01_*
## 1069 0.00 0.01 0.01 1.00_* 0.00 0.00
## 1073 0.06 0.03 0.07 0.99_* 0.00 0.00
## 1074 -0.08 -0.25 -0.27_* 0.99_* 0.04 0.00_*
## 1075 0.10 0.03 0.10_* 0.98_* 0.01 0.00
## 1076 -0.05 -0.19 -0.20_* 1.00 0.02 0.01_*
## 1077 0.02 0.04 0.04 1.00_* 0.00 0.00
## 1088 0.01 0.03 0.04 1.00_* 0.00 0.00_*
## 1091 0.00 0.01 -0.01 1.02_* 0.00 0.01_*
## 1092 -0.12 0.22 -0.25_* 0.98_* 0.03 0.00
## 1114 0.06 -0.02 0.07 0.99_* 0.00 0.00
## 1130 0.01 0.01 0.01 1.00_* 0.00 0.00
## 1133 -0.04 0.25 -0.25_* 1.01_* 0.03 0.02_*
## 1134 0.02 -0.08 0.08 1.01_* 0.00 0.01_*
## 1135 -0.11 0.09 -0.14_* 0.98_* 0.01 0.00
## 1155 0.06 -0.04 0.07 0.99_* 0.00 0.00
## 1160 -0.05 -0.17 -0.18_* 1.00 0.02 0.00_*
## 1169 0.00 0.01 0.01 1.00_* 0.00 0.00
## 1175 -0.09 0.47 -0.48_* 0.99_* 0.11 0.01_*
## 1176 -0.11 0.49 -0.50_* 0.99_* 0.13 0.01_*
## 1177 0.04 -0.21 0.21_* 1.01_* 0.02 0.01_*
## 1178 -0.07 0.09 -0.11_* 0.99_* 0.01 0.00
## 1191 -0.05 -0.05 -0.07 1.00_* 0.00 0.00
## 1192 0.07 -0.17 0.19_* 0.99_* 0.02 0.00_*
## 1217 -0.04 0.23 -0.24_* 1.01_* 0.03 0.01_*
## 1218 0.02 -0.13 0.13_* 1.02_* 0.01 0.02_*
## 1219 -0.01 0.03 -0.03 1.01_* 0.00 0.01_*
## 1220 -0.05 0.08 -0.09_* 1.00 0.00 0.00
## 1254 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1259 -0.02 0.07 -0.07 1.00_* 0.00 0.00_*
## 1260 -0.11 0.17 -0.20_* 0.98_* 0.02 0.00
## 1261 -0.01 0.04 -0.04 1.01_* 0.00 0.00_*
## 1282 -0.05 0.03 -0.05 1.00_* 0.00 0.00
## 1284 -0.07 -0.04 -0.08 0.99_* 0.00 0.00
## 1295 0.00 0.00 0.01 1.00_* 0.00 0.00
## 1325 -0.05 0.04 -0.07 1.00_* 0.00 0.00
## 1332 -0.05 -0.05 -0.07 1.00_* 0.00 0.00
## 1366 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1384 0.07 -0.11 0.13_* 0.99_* 0.01 0.00
## 1403 0.05 -0.10 0.12_* 1.00 0.01 0.00
## 1410 -0.07 -0.03 -0.07 0.99_* 0.00 0.00
## 1486 0.02 -0.06 0.06 1.00_* 0.00 0.00_*
## 1527 -0.04 0.01 -0.05 1.00_* 0.00 0.00
## 1528 0.04 -0.11 0.12_* 1.00 0.01 0.00_*
## 1535 0.03 -0.07 0.08 1.00 0.00 0.00_*
## 1536 -0.06 0.02 -0.06 0.99_* 0.00 0.00
## 1571 0.02 -0.04 0.04 1.00_* 0.00 0.00
## 1575 -0.06 -0.02 -0.07 0.99_* 0.00 0.00
## 1578 0.01 -0.02 0.03 1.00_* 0.00 0.00
## 1613 0.01 -0.01 0.01 1.00_* 0.00 0.00_*
## 1619 0.01 -0.04 0.04 1.00_* 0.00 0.00_*
## 1624 0.09 -0.12 0.15_* 0.99_* 0.01 0.00
## 1655 0.03 -0.08 0.09 1.00_* 0.00 0.00_*
## 1661 -0.01 0.03 -0.03 1.00_* 0.00 0.00_*
## 1672 0.01 0.03 0.03 1.00_* 0.00 0.00
## 1673 0.01 0.03 0.03 1.00_* 0.00 0.00
## 1678 0.08 -0.09 0.12_* 0.99_* 0.01 0.00
## 1695 0.05 -0.13 0.14_* 1.00 0.01 0.00_*
## 1696 0.01 -0.03 0.03 1.00_* 0.00 0.00_*
## 1697 -0.02 0.04 -0.05 1.00_* 0.00 0.00_*
## 1701 -0.01 0.01 -0.01 1.00_* 0.00 0.00
## 1702 -0.05 0.04 -0.07 1.00_* 0.00 0.00
## 1703 0.03 -0.09 0.09_* 1.00 0.00 0.00_*
## 1704 -0.06 0.05 -0.08 1.00_* 0.00 0.00
## 1706 0.04 -0.11 0.12_* 1.00 0.01 0.00_*
## 1714 0.01 0.02 0.03 1.00_* 0.00 0.00
## 1728 0.05 -0.08 0.10_* 1.00_* 0.00 0.00
## 1737 -0.06 -0.02 -0.06 1.00_* 0.00 0.00
## 1738 -0.05 0.05 -0.07 1.00_* 0.00 0.00
## 1739 0.03 -0.07 0.08 1.00 0.00 0.00_*
## 1743 0.03 -0.07 0.07 1.00 0.00 0.00_*
## 1750 0.00 -0.01 0.01 1.00_* 0.00 0.00_*
## 1751 0.03 -0.09 0.09_* 1.00_* 0.00 0.00_*
## 1759 0.00 -0.01 -0.01 1.00_* 0.00 0.00_*
## 1770 0.06 -0.11 0.12_* 1.00_* 0.01 0.00
## 1780 0.07 -0.15 0.17_* 0.99_* 0.01 0.00
## 1781 -0.08 0.03 -0.08 0.99_* 0.00 0.00
## 1785 0.01 -0.02 0.02 1.00_* 0.00 0.00
## 1790 -0.10 -0.15 -0.19_* 0.98_* 0.02 0.00
## 1801 0.01 0.03 0.03 1.00_* 0.00 0.00_*
## 1803 0.01 0.01 0.01 1.00_* 0.00 0.00
## 1816 0.09 -0.10 0.13_* 0.99_* 0.01 0.00
## 1822 -0.06 -0.02 -0.06 0.99_* 0.00 0.00
## 1843 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1844 0.01 0.01 0.01 1.00_* 0.00 0.00_*
## 1845 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1857 0.07 -0.07 0.10_* 0.99_* 0.01 0.00
## 1858 -0.08 -0.09 -0.12_* 0.99_* 0.01 0.00
## 1900 0.05 -0.06 0.08 1.00_* 0.00 0.00
## 1930 -0.06 0.02 -0.06 0.99_* 0.00 0.00
## 1950 0.04 -0.08 0.09_* 1.00 0.00 0.00
## 1988 0.05 -0.06 0.08 1.00_* 0.00 0.00
## 2026 -0.05 0.00 -0.05 1.00_* 0.00 0.00
## 2027 0.08 -0.19 0.21_* 0.99_* 0.02 0.00_*
## 2037 0.07 -0.11 0.13_* 0.99_* 0.01 0.00
## 2038 -0.06 -0.05 -0.08 1.00_* 0.00 0.00
## 2080 0.05 -0.07 0.09_* 1.00_* 0.00 0.00
## 2099 0.05 -0.10 0.11_* 1.00 0.01 0.00
## 2121 -0.05 -0.03 -0.06 1.00_* 0.00 0.00
## 2125 0.05 -0.05 0.07 1.00_* 0.00 0.00
## 2141 0.04 -0.08 0.09_* 1.00 0.00 0.00ptosInfC2 <- as.numeric(rownames(summary(moranPlotC2)))## Potentially influential observations of
## lm(formula = wx ~ x) :
##
## dfb.1_ dfb.x dffit cov.r cook.d hat
## 1 0.06 -0.09 0.11_* 1.00_* 0.01 0.00
## 2 -0.08 -0.04 -0.09 0.99_* 0.00 0.00
## 10 0.06 -0.06 0.08 0.99_* 0.00 0.00
## 22 0.05 -0.03 0.06 1.00_* 0.00 0.00
## 36 -0.01 -0.03 -0.03 1.01_* 0.00 0.01_*
## 37 0.03 0.07 0.07 1.00 0.00 0.00_*
## 39 0.05 0.05 0.07 1.00_* 0.00 0.00
## 42 -0.05 0.20 -0.20_* 1.00_* 0.02 0.01_*
## 43 -0.05 0.02 -0.05 1.00_* 0.00 0.00
## 74 0.06 -0.02 0.06 0.99_* 0.00 0.00
## 78 0.01 0.03 0.03 1.00_* 0.00 0.00_*
## 80 0.05 0.04 0.07 1.00_* 0.00 0.00
## 82 -0.04 -0.09 -0.10_* 1.00 0.01 0.00_*
## 84 0.04 -0.22 0.22_* 1.01_* 0.02 0.01_*
## 92 -0.05 -0.02 -0.05 1.00_* 0.00 0.00
## 102 -0.01 -0.02 -0.02 1.00_* 0.00 0.00
## 120 0.01 0.01 0.02 1.00_* 0.00 0.00_*
## 125 -0.06 -0.07 -0.09_* 0.99_* 0.00 0.00
## 126 0.08 -0.33 0.34_* 1.00_* 0.06 0.01_*
## 151 0.04 -0.10 0.11_* 1.00 0.01 0.00_*
## 162 0.00 0.01 0.01 1.00_* 0.00 0.00_*
## 177 0.01 -0.02 0.03 1.00_* 0.00 0.00
## 204 -0.01 -0.02 -0.03 1.00_* 0.00 0.00
## 221 0.00 0.00 0.00 1.00_* 0.00 0.00
## 222 0.01 -0.01 0.02 1.00_* 0.00 0.00
## 337 0.00 0.00 0.00 1.00_* 0.00 0.00
## 438 -0.05 -0.02 -0.05 1.00_* 0.00 0.00
## 464 0.11 -0.17 0.20_* 0.98_* 0.02 0.00
## 500 0.06 -0.01 0.06 0.99_* 0.00 0.00
## 524 0.00 0.01 -0.01 1.00_* 0.00 0.00
## 530 -0.07 -0.05 -0.08 0.99_* 0.00 0.00
## 542 -0.11 -0.28 -0.30_* 0.98_* 0.04 0.00_*
## 566 0.00 0.01 -0.01 1.00_* 0.00 0.00
## 571 -0.05 -0.02 -0.05 1.00_* 0.00 0.00
## 573 0.03 -0.08 0.08 1.00 0.00 0.00_*
## 584 0.12 -0.31 0.34_* 0.97_* 0.06 0.00_*
## 621 -0.05 0.02 -0.05 1.00_* 0.00 0.00
## 657 -0.05 0.01 -0.05 1.00_* 0.00 0.00
## 662 0.00 -0.01 0.01 1.00_* 0.00 0.00_*
## 663 0.00 -0.01 0.01 1.00_* 0.00 0.00
## 664 -0.07 0.00 -0.07 0.99_* 0.00 0.00
## 668 -0.05 -0.01 -0.05 1.00_* 0.00 0.00
## 702 -0.01 0.02 -0.02 1.00_* 0.00 0.00_*
## 703 -0.05 0.08 -0.10_* 1.00 0.00 0.00
## 704 -0.03 0.06 -0.07 1.00_* 0.00 0.00_*
## 705 -0.01 0.02 -0.02 1.00_* 0.00 0.00_*
## 706 -0.06 0.05 -0.07 0.99_* 0.00 0.00
## 707 0.01 -0.03 0.03 1.00_* 0.00 0.00_*
## 708 0.01 -0.03 0.03 1.00_* 0.00 0.00_*
## 710 -0.05 0.05 -0.07 1.00_* 0.00 0.00
## 711 -0.02 0.04 -0.04 1.00_* 0.00 0.00_*
## 712 0.01 -0.03 0.03 1.01_* 0.00 0.01_*
## 713 -0.01 0.01 -0.01 1.00_* 0.00 0.00
## 714 -0.04 -0.01 -0.04 1.00_* 0.00 0.00
## 732 0.00 0.00 0.00 1.00_* 0.00 0.00
## 734 -0.01 0.02 -0.02 1.00_* 0.00 0.00
## 744 -0.01 0.01 -0.01 1.00_* 0.00 0.00_*
## 745 -0.04 0.08 -0.09_* 1.00 0.00 0.00
## 747 -0.02 0.06 -0.06 1.00 0.00 0.00_*
## 749 -0.05 0.04 -0.06 1.00_* 0.00 0.00
## 751 -0.02 0.05 -0.06 1.00_* 0.00 0.00_*
## 752 -0.01 0.03 -0.03 1.00_* 0.00 0.00_*
## 753 -0.04 0.12 -0.13_* 1.00 0.01 0.00_*
## 754 -0.02 0.07 -0.07 1.01_* 0.00 0.01_*
## 755 -0.01 0.03 -0.03 1.00_* 0.00 0.00_*
## 756 -0.07 0.00 -0.07 0.99_* 0.00 0.00
## 767 0.06 -0.05 0.08 0.99_* 0.00 0.00
## 777 -0.01 0.01 -0.01 1.00_* 0.00 0.00
## 787 0.04 -0.10 0.11_* 1.00 0.01 0.00_*
## 788 -0.06 0.02 -0.06 0.99_* 0.00 0.00
## 789 0.01 -0.03 0.03 1.00_* 0.00 0.00
## 790 0.00 -0.01 0.01 1.00_* 0.00 0.00
## 794 -0.05 0.12 -0.13_* 1.00 0.01 0.00
## 795 -0.04 0.10 -0.11_* 1.00 0.01 0.00_*
## 796 -0.05 0.12 -0.13_* 1.00_* 0.01 0.00
## 818 0.01 -0.01 0.01 1.00_* 0.00 0.00
## 835 0.01 -0.01 0.02 1.00_* 0.00 0.00_*
## 836 -0.05 0.13 -0.14_* 1.00 0.01 0.00_*
## 837 -0.04 0.12 -0.12_* 1.00 0.01 0.00_*
## 838 -0.05 0.09 -0.10_* 1.00 0.00 0.00
## 839 -0.03 0.06 -0.07 1.00 0.00 0.00_*
## 840 -0.06 0.09 -0.11_* 1.00_* 0.01 0.00
## 868 0.06 -0.10 0.12_* 0.99_* 0.01 0.00
## 872 -0.01 -0.02 -0.02 1.00_* 0.00 0.00
## 876 -0.04 -0.09 -0.10_* 1.00 0.00 0.00_*
## 878 0.04 -0.17 0.17_* 1.00_* 0.02 0.01_*
## 879 0.00 -0.02 0.02 1.01_* 0.00 0.01_*
## 881 -0.01 0.02 -0.03 1.00_* 0.00 0.00_*
## 882 -0.01 0.02 -0.02 1.00_* 0.00 0.00_*
## 915 -0.01 -0.03 -0.03 1.00_* 0.00 0.00
## 917 0.06 0.07 0.09_* 0.99_* 0.00 0.00
## 918 -0.02 -0.08 -0.09 1.01_* 0.00 0.01_*
## 922 -0.05 -0.03 -0.06 1.00_* 0.00 0.00
## 924 -0.01 0.02 -0.02 1.00_* 0.00 0.00
## 931 0.07 -0.06 0.09 0.99_* 0.00 0.00
## 956 0.06 -0.11 0.13_* 0.99_* 0.01 0.00
## 960 0.02 0.07 0.07 1.00_* 0.00 0.00_*
## 967 -0.06 -0.14 -0.15_* 1.00_* 0.01 0.00
## 990 0.05 0.08 0.09_* 1.00 0.00 0.00
## 991 0.02 0.05 0.06 1.00_* 0.00 0.00_*
## 992 0.04 0.08 0.09 1.00 0.00 0.00_*
## 993 -0.01 -0.01 -0.01 1.00_* 0.00 0.00_*
## 1001 0.06 0.03 0.07 0.99_* 0.00 0.00
## 1002 -0.03 -0.10 -0.10_* 1.00_* 0.01 0.01_*
## 1009 0.08 -0.12 0.14_* 0.99_* 0.01 0.00
## 1019 0.05 -0.04 0.07 1.00_* 0.00 0.00
## 1032 0.03 0.07 0.08 1.00_* 0.00 0.00_*
## 1033 0.02 0.07 0.07 1.01_* 0.00 0.01_*
## 1034 0.04 0.11 0.12_* 1.00 0.01 0.00_*
## 1035 0.04 0.08 0.09_* 1.00 0.00 0.00
## 1043 0.04 -0.02 0.05 1.00_* 0.00 0.00
## 1044 0.01 0.01 0.01 1.00_* 0.00 0.00
## 1074 0.03 0.08 0.09 1.00 0.00 0.00_*
## 1075 0.06 0.17 0.18_* 1.00_* 0.02 0.00_*
## 1076 0.01 0.04 0.05 1.01_* 0.00 0.01_*
## 1103 0.05 -0.04 0.06 1.00_* 0.00 0.00
## 1116 0.05 0.10 0.11_* 1.00 0.01 0.00
## 1117 0.03 0.08 0.09 1.00_* 0.00 0.00_*
## 1118 0.05 0.13 0.13_* 1.00 0.01 0.00_*
## 1128 0.00 -0.01 -0.01 1.00_* 0.00 0.00
## 1157 0.00 0.01 0.01 1.00_* 0.00 0.00
## 1158 0.04 0.08 0.09_* 1.00 0.00 0.00
## 1159 0.03 0.08 0.09 1.00 0.00 0.00_*
## 1160 0.02 0.05 0.05 1.00_* 0.00 0.00_*
## 1170 0.02 0.04 0.05 1.00_* 0.00 0.00_*
## 1180 0.05 -0.10 0.11_* 1.00 0.01 0.00
## 1187 0.05 -0.08 0.09_* 1.00_* 0.00 0.00
## 1202 0.02 0.03 0.04 1.00_* 0.00 0.00
## 1212 0.00 0.00 0.00 1.00_* 0.00 0.00_*
## 1221 -0.09 -0.18 -0.20_* 0.99_* 0.02 0.00
## 1222 0.06 -0.13 0.14_* 1.00 0.01 0.00_*
## 1250 -0.05 0.02 -0.05 1.00_* 0.00 0.00
## 1254 0.02 0.04 0.04 1.00_* 0.00 0.00
## 1271 0.06 -0.09 0.11_* 1.00_* 0.01 0.00
## 1296 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1309 0.06 -0.12 0.13_* 1.00_* 0.01 0.00
## 1338 -0.01 -0.02 -0.02 1.00_* 0.00 0.00_*
## 1350 -0.05 -0.05 -0.07 1.00_* 0.00 0.00
## 1380 -0.01 -0.03 -0.03 1.00_* 0.00 0.00_*
## 1416 0.02 -0.05 0.05 1.00_* 0.00 0.00_*
## 1435 0.05 -0.12 0.14_* 1.00 0.01 0.00_*
## 1449 0.00 0.01 -0.01 1.00_* 0.00 0.00
## 1453 -0.05 -0.11 -0.12_* 1.00 0.01 0.00
## 1459 -0.05 0.01 -0.05 1.00_* 0.00 0.00
## 1476 -0.05 -0.05 -0.07 1.00_* 0.00 0.00
## 1491 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1519 0.03 -0.07 0.07 1.00 0.00 0.00_*
## 1523 0.01 -0.01 0.01 1.00_* 0.00 0.00
## 1561 0.02 -0.04 0.04 1.00_* 0.00 0.00_*
## 1565 0.05 -0.13 0.14_* 1.00 0.01 0.00_*
## 1566 -0.06 -0.01 -0.06 0.99_* 0.00 0.00
## 1607 0.02 -0.05 0.05 1.00_* 0.00 0.00_*
## 1637 0.01 -0.01 0.01 1.00_* 0.00 0.00
## 1687 -0.05 0.00 -0.05 1.00_* 0.00 0.00
## 1711 -0.05 -0.03 -0.06 1.00_* 0.00 0.00
## 1728 -0.05 -0.03 -0.06 1.00_* 0.00 0.00
## 1733 0.05 -0.06 0.08 1.00_* 0.00 0.00
## 1754 0.02 -0.05 0.05 1.00 0.00 0.00_*
## 1791 0.05 -0.01 0.05 1.00_* 0.00 0.00
## 1795 -0.01 0.01 -0.01 1.00_* 0.00 0.00
## 1796 -0.01 0.02 -0.02 1.00_* 0.00 0.00_*
## 1797 -0.01 0.01 -0.02 1.00_* 0.00 0.00
## 1798 -0.06 0.05 -0.08 1.00_* 0.00 0.00
## 1799 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1800 -0.05 0.01 -0.05 1.00_* 0.00 0.00
## 1813 0.05 -0.07 0.09 1.00_* 0.00 0.00
## 1817 0.05 -0.10 0.11_* 1.00_* 0.01 0.00
## 1833 -0.07 -0.14 -0.16_* 0.99_* 0.01 0.00
## 1838 -0.05 0.03 -0.06 1.00_* 0.00 0.00
## 1840 -0.01 0.02 -0.02 1.00_* 0.00 0.00_*
## 1841 -0.01 0.03 -0.03 1.00_* 0.00 0.00_*
## 1842 0.01 -0.01 0.01 1.00_* 0.00 0.00
## 1875 0.10 -0.09 0.14_* 0.98_* 0.01 0.00
## 1884 -0.01 0.01 -0.01 1.00_* 0.00 0.00
## 1886 -0.06 0.00 -0.06 0.99_* 0.00 0.00
## 1889 0.00 0.00 0.00 1.00_* 0.00 0.00_*
## 1890 -0.06 0.03 -0.06 1.00_* 0.00 0.00
## 1901 0.05 -0.11 0.12_* 1.00 0.01 0.00_*
## 1928 0.01 -0.04 0.04 1.00_* 0.00 0.00_*
## 1929 0.00 0.00 0.00 1.01_* 0.00 0.00_*
## 1930 -0.02 0.07 -0.08 1.00_* 0.00 0.00_*
## 1931 0.01 -0.04 0.04 1.01_* 0.00 0.01_*
## 1932 -0.07 0.10 -0.12_* 0.99_* 0.01 0.00
## 1961 0.01 0.01 0.02 1.00_* 0.00 0.00
## 1970 0.00 0.00 0.00 1.00_* 0.00 0.00
## 1972 -0.03 0.07 -0.08 1.00 0.00 0.00_*
## 1973 -0.03 0.10 -0.10_* 1.00 0.01 0.00_*
## 1974 -0.01 0.03 -0.03 1.00_* 0.00 0.00_*
## 1985 0.06 -0.11 0.12_* 1.00_* 0.01 0.00
## 2001 -0.01 -0.01 -0.01 1.00_* 0.00 0.00
## 2002 0.05 0.03 0.06 1.00_* 0.00 0.00
## 2003 0.00 0.00 0.00 1.00_* 0.00 0.00
## 2014 -0.05 0.03 -0.06 1.00_* 0.00 0.00
## 2016 -0.04 0.08 -0.10_* 1.00 0.00 0.00
## 2027 -0.05 0.00 -0.05 1.00_* 0.00 0.00
## 2041 0.05 0.02 0.05 1.00_* 0.00 0.00
## 2069 0.05 -0.09 0.11_* 1.00 0.01 0.00
## 2142 -0.03 0.08 -0.09 1.00 0.00 0.00_*
## 2184 -0.02 0.05 -0.06 1.00_* 0.00 0.00_*
## 2226 -0.02 0.07 -0.08 1.00_* 0.00 0.00_*
## 2237 0.04 -0.08 0.09_* 1.00 0.00 0.00
## 2267 -0.01 0.03 -0.03 1.00_* 0.00 0.00
## 2268 -0.02 0.06 -0.06 1.00_* 0.00 0.00_*
## 2272 0.08 -0.16 0.17_* 0.99_* 0.02 0.00
## 2273 -0.05 -0.02 -0.06 1.00_* 0.00 0.00
## 2274 -0.04 0.02 -0.05 1.00_* 0.00 0.00
## 2275 0.11 -0.38 0.40_* 0.98_* 0.08 0.01_*
## 2276 -0.06 0.02 -0.07 0.99_* 0.00 0.00
## 2310 -0.06 0.08 -0.10_* 1.00_* 0.01 0.00# Histograma de distancias de Cook
par(mfrow= c(1,2))
hist(moranPlotC1$infmat[ptosInfC1,"cook.d"], seq(0, 0.13, 0.002),
col = "black", border = "white",
xlab = "Distancias de Cook", ylab = "Frecuencia",
main = "C1")
hist(moranPlotC2$infmat[ptosInfC2,"cook.d"], seq(0, 0.13, 0.002),
col = "black", border = "white",
xlab = "Distancias de Cook", ylab = "Frecuencia",
main = "C2")
par(mfrow=c(1,1))Se definió considerar como valores atípicos aquellos puntos con una distancia de Cook mayores a \(4/N\), siendo \(N\) el número total de observaciones.
umbralCook <- 4/nrow(datosRindeMaiz)
# Outliers
outliersC1 <- as.numeric(names(which(moranPlotC1$infmat[ptosInfC1,"cook.d"]>umbralCook)))
outliersC2 <- as.numeric(names(which(moranPlotC2$infmat[ptosInfC2,"cook.d"]>umbralCook)))
# Agregar valores sin outliers
datosRindeMaiz$ajusteC1.M1.SinOut <- NA
datosRindeMaiz$ajusteC1.M1.SinOut[-outliersC1] <-
datosRindeMaiz$ajusteC1.M1[-outliersC1]
datosRindeMaiz$resAjusteC1.M1.SinOut <- NA
datosRindeMaiz$resAjusteC1.M1.SinOut[-outliersC1] <-
datosRindeMaiz$resAjusteC1.M1[-outliersC1]
datosRindeMaiz$ajusteC2.M1.SinOut <- NA
datosRindeMaiz$ajusteC2.M1.SinOut[-outliersC2] <-
datosRindeMaiz$ajusteC2.M1[-outliersC2]
datosRindeMaiz$resAjusteC2.M1.SinOut <- NA
datosRindeMaiz$resAjusteC2.M1.SinOut[-outliersC2] <-
datosRindeMaiz$resAjusteC2.M1[-outliersC2]# Plot C1
spplot(datosRindeMaiz, zcol = c("resAjusteC1.M1.SinOut", "resAjusteC1.M1"),
names.attr = c("Modelo sin outliers", "Modelo con outliers"), colorkey = TRUE)
# Plot C2
spplot(datosRindeMaiz, zcol = c("resAjusteC2.M1.SinOut", "resAjusteC2.M1"),
names.attr = c("Modelo sin outliers", "Modelo con outliers"), colorkey = TRUE)
Cambios en la media
Para observar los cambios en la media dentro del lote se realizaron mapas de puntos (“posting”) de los datos originales de rendimiento de maíz y las covariables ambientales.
# Mapa de puntos de rendimiento de maíz para el lote
spplot(obj = datosRindeMaiz, zcol = c("maizC1", "maizC2"),
main = "Rendimiento de maíz (t/ha)", colorkey = TRUE)
# Mapa de puntos de la profundidad de la napa para el lote
spplot(obj = datosRindeMaiz, zcol = c("NapaDicC1", "NapaDicC2"),
main = "Profundidad napa (m)", colorkey = TRUE)
# Mapa de puntos de la elevación del lote
spplot(obj = datosRindeMaiz, zcol = "Elev",
main = "Elevación (m)", colorkey = TRUE)
Respuesta 2
- Elabore un variograma empírico apropiado para los datos de rinde en ambas campañas por separado. ¿Considera que existe estructura espacial en cada campaña? ¿El proceso espacial observado en cada caso es isotrópico o anisotrópico? ¿La dependencia espacial observada difiere entre campañas?
Variograma empírico
A partir del análisis de los variogramas empíricos puede decirse que existe estructura espacial para las dos campañas ya que:
- la semivarianza (\(\gamma\)) aumenta con la distancia hasta llegar a una meseta, que implica que la dependencia espacial va disminuyendo con la distancia hasta alcanzar la independencia espacial.
- al utilizar los residuales de un modelo de tendencia se descarta cualquier efecto de dependencia espacial debido a la misma.
Nota: dado que para estimar los parámetros de ajuste de los modelos teóricos a los variogramas empíricos mediante métodos cuantitativos (Pregunta 3) se utilizará la librería geoR y para realizar los modelos de predicción-interpolación(Pregunta 4), validación cruzada (Pregunta 5) y simulaciones (Pregunta 6) se utilizará la librería gstat, se incluyen los variogramas empíricos y direccionales utilizando las dos librerías (requisitos necesarios de creación de objetos para poder utilizar una y otra librería en las siguientes respuestas).
Con librería geoR
# Con librería geoR:
dfC1 <- data.frame(as.data.frame(datosRindeMaiz@coords),
"Elev" = datosRindeMaiz$Elev,
"NapaDicC1" = datosRindeMaiz$NapaDicC1,
"maizC1" = datosRindeMaiz$maizC1)
dfC2 <- data.frame(as.data.frame(datosRindeMaiz@coords),
"Elev" = datosRindeMaiz$Elev,
"NapaDicC2" = datosRindeMaiz$NapaDicC2,
"maizC2" = datosRindeMaiz$maizC2)
# Sacar outliers y NAs
dfC1 <- dfC1[-c(NAs, outliersC1),]
dfC2 <- dfC2[-outliersC2,]
# Objetos geodata
geodataC1 <- as.geodata(obj = dfC1, coords.col = 1:2, data.col = 5,
covar.col = c(3,4))
geodataC2 <- as.geodata(obj = dfC2, coords.col = 1:2, data.col = 5,
covar.col = c(3,4))
# Crear variograma empírico con el modelo de tendencia elegido
varGeoC1 <- variog(geodataC1, trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing omnidirectional variogramvarGeoC2 <- variog(geodataC2, trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing omnidirectional variogram# Plot variogramas empíricos
par(mfrow = c(1,2))
plot(varGeoC1, pch = 19, col = "#0080FF", ylab = "semivarianza",
xlab = "distancia", main = "C1")
plot(varGeoC2, pch = 19, col = "#0080FF", ylab = "semivarianza",
xlab = "distancia", main = "C2")
par(mfrow = c(1,1))Con librería gstat
# Con librería gstat:
# Nota: se utiliza la fórmula "maizC2 ~ NapaDicC2 + Elev" para explicitar el
# modelo de tendencia utilizado. Podría usarse la variable 'resAjusteC2.M1.SinOut'
# guardada también en el set de datos de datosRindeMaiz.
# Crear variograma empírico omnidireccional - C1
varOmniC1 <- variogram(maizC1 ~ NapaDicC1 + Elev,
data = datosRindeMaiz[-c(NAs, outliersC1),],
width = 20, cutoff = 400)
# Plotear variograma
plot(varOmniC1, xlab = "distancia", ylab = "semivarianza",
main = "Variograma empírico - C1", pch = 19)
# Con librería gstat:
# Nota: se utiliza la fórmula "maizC2 ~ NapaDicC2 + Elev" para explicitar el
# modelo de tendencia utilizado. Podría usarse la variable 'resAjusteC2.M1.SinOut'
# guardada también en el set de datos de datosRindeMaiz.
# Crear variograma empírico omnidireccional - C2
varOmniC2 <- variogram(maizC2 ~ NapaDicC2 + Elev,
data = datosRindeMaiz[-outliersC2,],
width = 20, cutoff = 400)
# Plotear variograma
plot(varOmniC2, xlab = "distancia", ylab = "semivarianza",
main = "Variograma empírico - C2", pch = 19)
Proceso espacial: isotropía y anisotropía
A partir de analizar los variogramas direccionales se concluyó que el proceso espacial en las dos campañas es isotrópico. No se observaron diferencias aparentes en los valores de la semivarianza para la cual la misma se estabiliza al alcanzar una meseta (\(\gamma_{C1} = ~ 1.7\) \(\gamma_{C2} = ~ 0.7\)) ni tampoco a la distancia a la cual se llega a \(\gamma\) (\(h_{C1} = ~ 200\) y \(h_{C2} = ~ 200\)) para las distintas direcciones en el espacio (\(0^{\circ}, 45^{\circ}, 90^{\circ} y 135^{\circ}\)).
Con librería geoR
# Con librería geoR:
# Crear variogramas direccionales
varGeoC1dir0 <- variog(geodataC1, trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
direction = 0, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 0 degrees (0 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC1dir45 <- variog(geodataC1, trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
direction = 45, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 45 degrees (0.785 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC1dir90 <- variog(geodataC1, trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
direction = 90, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 90 degrees (1.571 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC1dir135 <- variog(geodataC1, trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
direction = 135, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 135 degrees (2.356 radians)
## tolerance angle = 22.5 degrees (0.393 radians)# Plot variogramas direccionales - C1
par(mfrow = c(2,2))
plot(varGeoC1dir0, pch = 19, col = "#0080FF", ylim = c(0,2),
ylab = "semivarianza", xlab = "distancia", main = "0 grados")
grid()
plot(varGeoC1dir45, pch = 19, col = "#0080FF", ylim = c(0,2),
ylab = "semivarianza", xlab = "distancia", main = "45 grados")
grid()
plot(varGeoC1dir90, pch = 19, col = "#0080FF", ylim = c(0,2),
ylab = "semivarianza", xlab = "distancia", main = "90 grados")
grid()
plot(varGeoC1dir135, pch = 19, col = "#0080FF", ylim = c(0,2),
ylab = "semivarianza", xlab = "distancia", main = "135 grados")
grid()
par(mfrow = c(1,1))# Con librería geoR:
# Crear variogramas direccionales
varGeoC2dir0 <- variog(geodataC2, trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
direction = 0, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 0 degrees (0 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC2dir45 <- variog(geodataC2, trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
direction = 45, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 45 degrees (0.785 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC2dir90 <- variog(geodataC2, trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
direction = 90, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 90 degrees (1.571 radians)
## tolerance angle = 22.5 degrees (0.393 radians)varGeoC2dir135 <- variog(geodataC2, trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
direction = 135, tolerance = 45/2, unit.angle = "degrees",
max.dist = 400, breaks = seq(from = 0, to = 500, by = 20))## variog: computing variogram for direction = 135 degrees (2.356 radians)
## tolerance angle = 22.5 degrees (0.393 radians)# Plot variogramas direccionales - C2
par(mfrow = c(2,2))
plot(varGeoC2dir0, pch = 19, col = "#0080FF", ylim = c(0,1),
ylab = "semivarianza", xlab = "distancia", main = "0 grados")
grid()
plot(varGeoC2dir45, pch = 19, col = "#0080FF", ylim = c(0,1),
ylab = "semivarianza", xlab = "distancia", main = "45 grados")
grid()
plot(varGeoC2dir90, pch = 19, col = "#0080FF", ylim = c(0,1),
ylab = "semivarianza", xlab = "distancia", main = "90 grados")
grid()
plot(varGeoC2dir135, pch = 19, col = "#0080FF", ylim = c(0,1),
ylab = "semivarianza", xlab = "distancia", main = "135 grados")
grid()
par(mfrow = c(1,1))Con librería gstat
# Con librería gstat:
# Crear variograma empírico direccional - C1
varDirC1 <- variogram(maizC1 ~ NapaDicC1 + Elev,
data = datosRindeMaiz[-c(NAs,outliersC1),],
width = 20, cutoff = 400,
alpha = c(0,45,90,135))
# Plotear variograma
plot(varDirC1, xlab = "distancia", ylab = "semivarianza", main = "C1", pch = 19)
# Con gstat:
varDirC2 <- variogram(maizC2 ~ NapaDicC2 + Elev,
data = datosRindeMaiz[-outliersC2,],
width = 20, cutoff = 400,
alpha = c(0,45,90,135))
# Plotear variograma
plot(varDirC2, xlab = "distancia", ylab = "semivarianza", main = "C2", pch = 19)
La dependencia espacial no difiere entre campañas, ya que la distancia (\(h\)) a la cual se llega a \(\gamma\) (\(h_{C1} = ~ 200\) y \(h_{C2} = ~ 200\)) es aproximadamente la misma para las dos campañas.
Respuesta 3
- Ajuste al menos tres tipos de modelos permisibles para cada uno de los variogramas muestrales obtenidos en el punto anterior y elija el mejor en cada caso justificando su elección a partir de un criterio cuantitativo objetivo. Utilice procedimientos de estimación estadísticos para ajustar el modelo del variograma.
Ajustar modelos a variograma
Se ajustaron los modelos esférico, exponencial y circular a los variogramas empíricos obtenidos para cada una de las campañas mediante estimación de parámetros por el método de Máxima versoimilitud restringida (REML). Se utilizó para ello la librería geoR debido a que presenta la función likfit que permite estimar los parámetros necesarios (rango, meseta y pepita) para ajustar un modelo de variograma teórico al variograma empírico y seguir un criterio cuantitativo para seleccionar el mejor modelo. La librería gstat posee la función fit.variogram.reml que cumple con lo anterior pero solo estima el rango. También se probó la función fit.variogram.gls pero no es eficaz para muchos datos y requería de un muestreo aleatorio (trabajar con una submuestra) sobre los datos originales.
load("~/Documentos/GitHub/IntroductionToGeostatistics/data/RData.RData")
# Tomar muestra para el ajuste de 500 puntos
geodataC1 <- sample.geodata(geodataC1, size = 500, replace = FALSE)
geodataC2 <- sample.geodata(geodataC2, size = 500, replace = FALSE)
# Matriz de posibles parámetros iniciales de rango y meseta para C1
iniCovParsC1 <- cbind("sigma" = seq(1,3,length.out = 20),
"phi" = seq(60,240,length.out = 20))
iniCovParsC1 <- as.matrix(iniCovParsC1) # convertir a matriz
if(length(which(ls() == "likfitVarGeoC1.sph")) == 0) {
# Ajuste modelo esférico
likfitVarGeoC1.sph <- likfit(geodataC1,
trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
ini.cov.pars = iniCovParsC1,
limits = pars.limits(phi = c(50,250), sigmasq = c(0.5,3.5)),
fix.nugget = FALSE,
cov.model = "spherical",
lik.method = "REML")
}
if(length(which(ls() == "likfitVarGeoC1.exp")) == 0) {
# Ajuste modelo exponencial
likfitVarGeoC1.exp <- likfit(geodataC1,
trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
ini.cov.pars = iniCovParsC1,
limits = pars.limits(phi = c(50,250), sigmasq = c(0.5,3.5)),
fix.nugget = TRUE,
nugget = 0,
cov.model = "exponential",
lik.method = "REML")
}
if(length(which(ls() == "likfitVarGeoC1.cir")) == 0) {
# Ajuste modelo circular
likfitVarGeoC1.cir <- likfit(geodataC1,
trend = trend.spatial(data~NapaDicC1+Elev, geodataC1),
ini.cov.pars = iniCovParsC1,
limits = pars.limits(phi = c(50,250), sigmasq = c(0.5,3.5)),
fix.nugget = TRUE,
nugget = 0,
cov.model = "circular",
lik.method = "REML")
}
# Plot variograma empírico + modelos
plot(varGeoC1, main = "C1", ylab = "semivarianza",
xlab = "distancia", pch = 19, col = "#0080FF", ylim = c(0,4))
lines.variomodel(likfitVarGeoC1.sph, col = "red", lty = 1)
lines.variomodel(likfitVarGeoC1.exp, col = "red", lty = 2)
lines.variomodel(likfitVarGeoC1.cir, col = "red", lty = 3)
grid()
legend('topleft', lty = c(1,2,3), legend = c('Esf','Exp','Cir'), col = rep("red", 3))
# Selección de modelo por criterio de información de Akaike
AICmodelosC1 <- data.frame("Modelo" = c('Esférico','Exponencial','Circular'),
"AIC" = c(likfitVarGeoC1.sph$AIC,
likfitVarGeoC1.exp$AIC,
likfitVarGeoC1.cir$AIC))
print(AICmodelosC1)## Modelo AIC
## 1 Esférico 1331.098
## 2 Exponencial 1317.886
## 3 Circular 1359.595# Matriz de posibles parámetros iniciales de rango y meseta para C1
iniCovParsC2 <- cbind("sigma" = seq(0.5,1,length.out = 20),
"phi" = seq(100,300,length.out = 20))
iniCovParsC2 <- as.matrix(iniCovParsC2) # convertir a matriz
if(length(which(ls() == "likfitVarGeoC2.sph")) == 0) {
# Ajuste modelo esférico
likfitVarGeoC2.sph <- likfit(geodataC2,
trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
ini.cov.pars = iniCovParsC2,
limits = pars.limits(phi = c(90,310), sigmasq = c(0.4,1.1)),
fix.nugget = TRUE,
nugget = 0,
cov.model = "spherical",
lik.method = "REML")
}
if(length(which(ls() == "likfitVarGeoC2.exp")) == 0) {
# Ajuste modelo exponencial
likfitVarGeoC2.exp <- likfit(geodataC2,
trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
ini.cov.pars = iniCovParsC2,
limits = pars.limits(phi = c(90,310), sigmasq = c(0.4,1.1)),
fix.nugget = TRUE,
nugget = 0,
cov.model = "exponential",
lik.method = "REML")
}
if(length(which(ls() == "likfitVarGeoC2.cir")) == 0) {
# Ajuste modelo circular
likfitVarGeoC2.cir <- likfit(geodataC2,
trend = trend.spatial(data~NapaDicC2+Elev, geodataC2),
ini.cov.pars = iniCovParsC2,
limits = pars.limits(phi = c(90,310), sigmasq = c(0.4,1.1)),
fix.nugget = TRUE,
nugget = 0,
cov.model = "circular",
lik.method = "REML")
}
# Plot variograma empírico + modelos
plot(varGeoC2, main = "C2", ylab = "semivarianza",
xlab = "distancia", pch = 19, col = "#0080FF", ylim = c(0,2))
lines.variomodel(likfitVarGeoC2.sph, col = "red", lty = 1)
lines.variomodel(likfitVarGeoC2.exp, col = "red", lty = 2)
lines.variomodel(likfitVarGeoC2.cir, col = "red", lty = 3)
grid()
legend('topleft', lty = c(1,2,3), legend = c('Esf','Exp','Cir'), col = rep("red", 3))
# Selección de modelo por criterio de información de Akaike
AICmodelosC2 <- data.frame("Modelo" = c('Esférico','Exponencial','Circular'),
"AIC" = c(likfitVarGeoC2.sph$AIC,
likfitVarGeoC2.exp$AIC,
likfitVarGeoC2.cir$AIC))
print(AICmodelosC2)## Modelo AIC
## 1 Esférico 994.0059
## 2 Exponencial 979.6216
## 3 Circular 1024.4368Para las dos campañas, el mejor ajuste del modelo de variograma teórico a los datos fue para el Exponencial. Se eligió dicho modelo debido a que el que presentó el \(AIC\) más bajo (\(AIC_{C1} = 1317.886\) y \(AIC_{C2} = 979.6216\)) comparando en cada caso frente a los modelos Esférico (\(AIC_{C1} = 1331.098\) y \(AIC_{C2} = 994.0059\)) y Circular (\(AIC_{C1} = 1359.595\) y \(AIC_{C2} = 1024.4368\)).
varMejorTeoC1 <- vgm(psill = likfitVarGeoC1.exp$sigmasq,
model = "Exp",
range = likfitVarGeoC1.exp$phi,
nugget = 0)
varMejorTeoC2 <- vgm(psill = likfitVarGeoC2.exp$sigmasq,
model = "Exp",
range = likfitVarGeoC2.exp$phi,
nugget = 0)
par(mfrow = c(1,2))
# Plotear variograma experimental y ajuste modelo teórico - C1
plot(x = varOmniC1$dist, y = varOmniC1$gamma, main = "Modelos - C1",
col = "#0080FF", ylab = "semivarianza", xlab = "distancia",
ylim = c(0, 2), pch = 19)
lines(variogramLine(object = varMejorTeoC1, maxdist = 500), col = "red", lwd = 1, lty = 1)
legend("topleft", c("Exponencial"), lty = 1, col = "red")
# Plotear variograma experimental y ajuste modelo teórico - C2
plot(x = varOmniC2$dist, y = varOmniC2$gamma, main = "Modelos - C2",
col = "#0080FF", ylab = "semivarianza", xlab = "distancia",
ylim = c(0, 1.2), pch = 19)
lines(variogramLine(object = varMejorTeoC2, maxdist = 500), col = "red", lwd = 1, lty = 1)
legend("topleft", c("Exponencial"), lty = 1, col = "red")
par(mfrow = c(1,1))Respuesta 4
- Realice una interpolación para los datos de rinde de cada campaña mediante kriging ordinario puntual y kriging en bloque. Utilice una grilla de predicción hasta la mitad de fina que la originalmente provista para el kriging puntual y un tamaño de bloque que agrupe al menos nueve observaciones originales. Elabore para cada campaña tanto mapas del rinde de maíz predicho, como de la variabilidad de la predicción. Justifique todas las decisiones necesarias para realizar estas interpolaciones.
Tamaño de la grilla y bloque
Para obtener una grilla de predicción de la mitad de fina que la originalmente provista, se utilizó una grilla de con un tamaño de celda de la mitad (\(10 m\)) que los datos originales (\(20 m\)) para realizar el Kriging Ordinario Puntual. Además se ajustó la extensión de la grilla de predicción para que ajustara a la original. Para obtener un tamaño de bloque que agrupó al menos nueve observaciones originales (teniendo en cuenta que los puntos originales están separados \(20 m\) entre si), se utilizó un tamaño de bloque de \(60 m * 60 m\) para realizar el Kriging en Bloque.
# Crear nuevo borde
bb <- matrix(data = c(bbox(datosRindeMaiz)["Long","min"],
bbox(datosRindeMaiz)["Long","max"] + 10,
bbox(datosRindeMaiz)["Lat","min"],
bbox(datosRindeMaiz)["Lat","max"] + 10),
2, 2, byrow = TRUE)
colnames(bb) <- c("min", "max")
rownames(bb) <- c("Long", "Lat")
# Definir grilla donde predecir valores
puntosPredecir <- spsample(x = datosRindeMaiz,
type = "regular",
bb = bb,
cellsize = 10,
offset = c(0,0))
# Mostrar grilla
par(mfrow = c(1,2))
plot(datosRindeMaiz[,], cex = 0, main = "Todos")
plot(datosRindeMaiz, pch = 19, cex =1.5, add = TRUE)
plot(puntosPredecir, pch = 19, col = "green", cex = 0.8, add = TRUE)
box()
plot(datosRindeMaiz[505:510,], cex = 0, main = "Detalle")
plot(datosRindeMaiz, pch = 19, cex =1.5, add = TRUE)
plot(puntosPredecir, pch = 19, col = "green", cex = 0.8, add = TRUE)
box()
par(mfrow = c(1,1))Kriging Ordinario Puntual
if(length(which(ls() == "intOK.C1")) == 0) {
# Interpolacion por Kriging Ordinario (KO)
intOK.C1 <- krige(formula = maizC1 ~ 1,
locations = datosRindeMaiz[-c(NAs, outliersC1),],
newdata = puntosPredecir,
model = varMejorTeoC1)
}
# Predicho
spplot(intOK.C1, zcol = "var1.pred")
spplot(intOK.C1, zcol = "var1.var")
# Visualizar como grilla
intOK.C1.grid <- SpatialPixelsDataFrame(points = puntosPredecir,
data = intOK.C1@data)
spplot(intOK.C1.grid, main = "Kriging Ordinario C1 - predicción", zcol = "var1.pred")
spplot(intOK.C1.grid, main = "Kriging Ordinario C1 - varianza", zcol = "var1.var")
if(length(which(ls() == "intOK.C2")) == 0) {
# Interpolacion por Kriging Ordinario (KO)
intOK.C2 <- krige(formula = maizC2 ~ 1,
locations = datosRindeMaiz[-outliersC2,],
newdata = puntosPredecir,
model = varMejorTeoC2)
}
# Predicho
spplot(intOK.C2, zcol = "var1.pred")
spplot(intOK.C2, zcol = "var1.var")
# Visualizar como grilla
intOK.C2.grid <- SpatialPixelsDataFrame(points = puntosPredecir,
data = intOK.C2@data)
spplot(intOK.C2.grid, main = "Kriging Ordinario C2 - predicción", zcol = "var1.pred")
spplot(intOK.C2.grid, main = "Kriging Ordinario C2 - varianza", zcol = "var1.var")
Kriging en Bloque
if(length(which(ls() == "intBK.C1")) == 0) {
# Interpolacion por Kriging en Bloque (BK)
intBK.C1 <- krige(formula = maizC1 ~ 1,
locations = datosRindeMaiz[-c(NAs, outliersC1),],
newdata = puntosPredecir,
model = varMejorTeoC1,
block = c(60,60))
}
# Predicho
spplot(intBK.C1, zcol = "var1.pred")
spplot(intBK.C1, zcol = "var1.var")
# Visualizar como grilla
intBK.C1.grid <- SpatialPixelsDataFrame(points = intBK.C1,
data = intBK.C1@data)
spplot(intBK.C1.grid, main = "Kriging en Bloque C1 - predicción", zcol = "var1.pred")
spplot(intBK.C1.grid, main = "Kriging en Bloque C1 - varianza", zcol = "var1.var")
if(length(which(ls() == "intBK.C2")) == 0) {
# Interpolacion por Kriging en Bloque (BK)
intBK.C2 <- krige(formula = maizC2 ~ 1,
locations = datosRindeMaiz[-outliersC2,],
newdata = puntosPredecir,
model = varMejorTeoC2,
block = c(60,60))
}
# Predicho
spplot(intBK.C2, zcol = "var1.pred")
spplot(intBK.C2, zcol = "var1.var")
# Visualizar como grilla
intBK.C2.grid <- SpatialPixelsDataFrame(points = intBK.C2,
data = intBK.C2@data)
spplot(intBK.C2.grid, main = "Kriging en Bloque C2 - predicción", zcol = "var1.pred")
spplot(intBK.C2.grid, main = "Kriging en Bloque C2 - varianza", zcol = "var1.var")
Respuesta 5
- Realice un procedimiento de validación cruzada para el método de interpolación puntual para las campañas analizadas en el punto anterior. Presente resultados sumarios respecto del error de predicción para toda el área estudiada.
Validación cruzada
Se observó que el valor de predicción global (\(RMSE\)) fue mejor para la C2 que para la C1. Sin embargo, se observó una buena predicción para las dos campañas como resumen los indicadores según el valor esperado en la tabla a continuación.
# Validación cruzada mediante partición de los datos en 1000 partes.
# Las predicicones estarán basadas en las restantes N-1 partes para un conjunto
# de onservaciones de la parte N.
if(length(which(ls() == "vcOK.C1")) == 0) {
vcOK.C1 <- krige.cv(formula = maizC1~1,
model = varMejorTeoC1,
locations = datosRindeMaiz[-c(NAs,outliersC1),],
nfold = 1000)
}
if(length(which(ls() == "vcOK.C2")) == 0) {
vcOK.C2 <- krige.cv(formula = maizC2~1,
model = varMejorTeoC2,
locations = datosRindeMaiz[-outliersC2,],
nfold = 1000)
}
# Analizar validación cruzada
par(mfrow = c(2,2))
plot(x = vcOK.C1$observed,
y = vcOK.C1$observed - vcOK.C1$residual,
xlab = "observados",
ylab = "observados - residuales",
main = "C1")
lines(x = 0:20, y = 0:20, col = "red")
plot(x = vcOK.C2$observed,
y = vcOK.C2$observed - vcOK.C2$residual,
xlab = "observados",
ylab = "observados - residuales",
main = "C2")
lines(x = 0:20, y = 0:20, col = "red")
plot(x = vcOK.C1$observed,
y = vcOK.C1$residual,
xlab = "observados",
ylab = "residuales",
main = "C1")
lines(x = 0:19, y = rep(0,20), col = "red")
plot(x = vcOK.C2$observed,
y = vcOK.C2$residual,
xlab = "observados",
ylab = "residuales",
main = "C2")
lines(x = 0:19, y = rep(0,20), col = "red")
par(mfrow = c(1,1))
# Calcular RMSE para toda el área
rmse <- function(error) {
sqrt(mean(error^2))
}
# Observados - predicho
RMSE.C1 <- rmse(vcOK.C1$residual)
RMSE.C2 <- rmse(vcOK.C2$residual)
# Tabla de resultados sumarios
vcResumen <- data.frame("Indicador" = c("Error.medio",
"Error.medio.cuadrático",
"Error.medio.cuadrático.normalizado",
"Correlación.obsVSpred",
"Correlación.predVSresiduales",
"RMSE"),
"ValorC1" = c(mean(vcOK.C1$residual),
mean(vcOK.C1$residual^2),
mean(vcOK.C1$zscore^2),
cor(vcOK.C1$observed, vcOK.C1$observed - vcOK.C1$residual),
cor(vcOK.C1$observed - vcOK.C1$residual, vcOK.C1$residual),
RMSE.C1),
"ValorC2" = c(mean(vcOK.C2$residual),
mean(vcOK.C2$residual^2),
mean(vcOK.C2$zscore^2),
cor(vcOK.C2$observed, vcOK.C2$observed - vcOK.C2$residual),
cor(vcOK.C2$observed - vcOK.C2$residual, vcOK.C2$residual),
RMSE.C2),
"Ideal" = c("0","0","1","1", "0", "0"))
# Ver
(vcResumen)## Indicador ValorC1 ValorC2 Ideal
## 1 Error.medio -0.0007884646 -0.001483597 0
## 2 Error.medio.cuadrático 0.3818291953 0.172701418 0
## 3 Error.medio.cuadrático.normalizado 0.8908079915 0.885778468 1
## 4 Correlación.obsVSpred 0.9736179432 0.972638134 1
## 5 Correlación.predVSresiduales 0.0614139787 0.063032033 0
## 6 RMSE 0.6179232924 0.415573601 0Respuesta 6
- A partir de los modelos lineales regionalizados definidos en el punto 4, realice 300 simulaciones del proceso estocástico mediante kriging puntual ordinario para cada campaña. Asumiendo que ambas campañas fueron similares en cuanto al régimen de lluvias y la dinámica del acuífero elabore un mapa probabilístico que muestre la probabilidad de obtener rindes mayores a 9500 kg.ha-1 integrando la información de ambas campañas. Justifique todas las decisiones necesarias para elaborar este mapa. ¿Cuál es la superficie de este lote que tiene una probabilidad igual o mayor a 0.8 de alcanzar o superar el rinde umbral establecido?
Simulaciones del proceso estocástico
Nota: Dado que para cada nodo visitado del set de datos el algoritmo de simulación secuencial simula un valor y este valor es agregado a los datos, el tiempo computacional requerido para realizar 300 simulaciones utilizando por defecto todos los puntos para cada nodo visitado es muy grande. Por eso se restringió a un radio de vecinos dado por todos los puntos encontrados a una distancia menor a \(100 m\).
# Interpolacion por Kriging Ordinario (KO)
if(length(which(ls() == "KOSim.C1")) == 0) {
KOSim.C1 <- krige(formula = maizC1 ~ 1,
locations = datosRindeMaiz[-c(NAs,outliersC1),],
newdata = puntosPredecir,
model = varMejorTeoC1,
nsim = 300, maxdist = 100)
}
if(length(which(ls() == "KOSim.C2")) == 0) {
KOSim.C2 <- krige(formula = maizC2 ~ 1,
locations = datosRindeMaiz[-outliersC2,],
newdata = puntosPredecir,
model = varMejorTeoC2,
nsim = 300, maxdist = 100)
}Cálculo de probabilidad
# Probabilidad de obtener rindes mayores a 9500 kg.ha-1
probRinde <- numeric()
nroCeldas <- length(KOSim.C1$sim1)
# Recorro los datos simulados
for(i in 1:nroCeldas) {
# Vectores
C1Mayor <- length(which(KOSim.C1@data[i,] > 9.5))
C2Mayor <- length(which(KOSim.C2@data[i,] > 9.5))
# Condiciones
ifelse(test = C1Mayor != 0, yes = probC1 <- C1Mayor/300, no = probC1 <- 0)
ifelse(test = C2Mayor != 0, yes = probC2 <- C2Mayor/300, no = probC2 <- 0)
# Calcular probabilidad
probRinde[i] <- (probC1 + probC2) / 2
}
# Crear objeto espacial
probRindeMayor9500 <- SpatialPointsDataFrame(coords = KOSim.C1@coords,
data = data.frame("ID" = 1:nrow(KOSim.C1@coords),
"Prob" = probRinde))
# Plot
spplot(probRindeMayor9500, zcol = "Prob", colorkey = TRUE,
main = "Probabilidad Rindes > 9500 kg.ha-1")
# Visualizar como grilla
probRindeMayor9500.grid <- SpatialPixelsDataFrame(points = puntosPredecir,
data = probRindeMayor9500@data)
spplot(probRindeMayor9500.grid, main = "Probabilidad Rindes > 9500 kg.ha-1",
zcol = "Prob", colorkey = TRUE)
Cálculo de superficie
La superficie estimada del lote que tiene una probabilidad igual o mayor a \(0.8\) de alcanzar o superar el rinde umbral establecido fue de \(88900 m^{2}\). Equivale a casi el \(10\%\) (\(9.82\%\)) de la superficie total del lote.
# Consulto grilla creada anteriormente
mayorProbUmbral <- probRindeMayor9500.grid[which(probRindeMayor9500.grid$Prob >= 0.8),]
probRindeMayor9500.grid## Object of class SpatialPixelsDataFrame
## Object of class SpatialPixels
## Grid topology:
## cellcentre.offset cellsize cells.dim
## x1 16153.506 10 109
## x2 3913.242 10 83
## SpatialPoints:
## x1 x2
## [1,] 16153.51 3913.242
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## [881,] 16233.51 3993.242
## [882,] 16243.51 3993.242
## [883,] 16253.51 3993.242
## [884,] 16263.51 3993.242
## [885,] 16273.51 3993.242
## [886,] 16283.51 3993.242
## [887,] 16293.51 3993.242
## [888,] 16303.51 3993.242
## [889,] 16313.51 3993.242
## [890,] 16323.51 3993.242
## [891,] 16333.51 3993.242
## [892,] 16343.51 3993.242
## [893,] 16353.51 3993.242
## [894,] 16363.51 3993.242
## [895,] 16373.51 3993.242
## [896,] 16383.51 3993.242
## [897,] 16393.51 3993.242
## [898,] 16403.51 3993.242
## [899,] 16413.51 3993.242
## [900,] 16423.51 3993.242
## [901,] 16433.51 3993.242
## [902,] 16443.51 3993.242
## [903,] 16453.51 3993.242
## [904,] 16463.51 3993.242
## [905,] 16473.51 3993.242
## [906,] 16483.51 3993.242
## [907,] 16493.51 3993.242
## [908,] 16503.51 3993.242
## [909,] 16513.51 3993.242
## [910,] 16523.51 3993.242
## [911,] 16533.51 3993.242
## [912,] 16543.51 3993.242
## [913,] 16553.51 3993.242
## [914,] 16563.51 3993.242
## [915,] 16573.51 3993.242
## [916,] 16583.51 3993.242
## [917,] 16593.51 3993.242
## [918,] 16603.51 3993.242
## [919,] 16613.51 3993.242
## [920,] 16623.51 3993.242
## [921,] 16633.51 3993.242
## [922,] 16643.51 3993.242
## [923,] 16653.51 3993.242
## [924,] 16663.51 3993.242
## [925,] 16673.51 3993.242
## [926,] 16683.51 3993.242
## [927,] 16693.51 3993.242
## [928,] 16703.51 3993.242
## [929,] 16713.51 3993.242
## [930,] 16723.51 3993.242
## [931,] 16733.51 3993.242
## [932,] 16743.51 3993.242
## [933,] 16753.51 3993.242
## [934,] 16763.51 3993.242
## [935,] 16773.51 3993.242
## [936,] 16783.51 3993.242
## [937,] 16793.51 3993.242
## [938,] 16803.51 3993.242
## [939,] 16813.51 3993.242
## [940,] 16823.51 3993.242
## [941,] 16833.51 3993.242
## [942,] 16843.51 3993.242
## [943,] 16853.51 3993.242
## [944,] 16863.51 3993.242
## [945,] 16873.51 3993.242
## [946,] 16883.51 3993.242
## [947,] 16893.51 3993.242
## [948,] 16903.51 3993.242
## [949,] 16913.51 3993.242
## [950,] 16923.51 3993.242
## [951,] 16933.51 3993.242
## [952,] 16943.51 3993.242
## [953,] 16953.51 3993.242
## [954,] 16963.51 3993.242
## [955,] 16973.51 3993.242
## [956,] 16983.51 3993.242
## [957,] 16993.51 3993.242
## [958,] 17003.51 3993.242
## [959,] 17013.51 3993.242
## [960,] 17023.51 3993.242
## [961,] 17033.51 3993.242
## [962,] 17043.51 3993.242
## [963,] 17053.51 3993.242
## [964,] 17063.51 3993.242
## [965,] 17073.51 3993.242
## [966,] 17083.51 3993.242
## [967,] 17093.51 3993.242
## [968,] 17103.51 3993.242
## [969,] 17113.51 3993.242
## [970,] 17123.51 3993.242
## [971,] 17133.51 3993.242
## [972,] 17143.51 3993.242
## [973,] 17153.51 3993.242
## [974,] 17163.51 3993.242
## [975,] 17173.51 3993.242
## [976,] 17183.51 3993.242
## [977,] 17193.51 3993.242
## [978,] 17203.51 3993.242
## [979,] 17213.51 3993.242
## [980,] 17223.51 3993.242
## [981,] 17233.51 3993.242
## [982,] 16153.51 4003.242
## [983,] 16163.51 4003.242
## [984,] 16173.51 4003.242
## [985,] 16183.51 4003.242
## [986,] 16193.51 4003.242
## [987,] 16203.51 4003.242
## [988,] 16213.51 4003.242
## [989,] 16223.51 4003.242
## [990,] 16233.51 4003.242
## [991,] 16243.51 4003.242
## [992,] 16253.51 4003.242
## [993,] 16263.51 4003.242
## [994,] 16273.51 4003.242
## [995,] 16283.51 4003.242
## [996,] 16293.51 4003.242
## [997,] 16303.51 4003.242
## [998,] 16313.51 4003.242
## [999,] 16323.51 4003.242
## [1000,] 16333.51 4003.242
## [1001,] 16343.51 4003.242
## [1002,] 16353.51 4003.242
## [1003,] 16363.51 4003.242
## [1004,] 16373.51 4003.242
## [1005,] 16383.51 4003.242
## [1006,] 16393.51 4003.242
## [1007,] 16403.51 4003.242
## [1008,] 16413.51 4003.242
## [1009,] 16423.51 4003.242
## [1010,] 16433.51 4003.242
## [1011,] 16443.51 4003.242
## [1012,] 16453.51 4003.242
## [1013,] 16463.51 4003.242
## [1014,] 16473.51 4003.242
## [1015,] 16483.51 4003.242
## [1016,] 16493.51 4003.242
## [1017,] 16503.51 4003.242
## [1018,] 16513.51 4003.242
## [1019,] 16523.51 4003.242
## [1020,] 16533.51 4003.242
## [1021,] 16543.51 4003.242
## [1022,] 16553.51 4003.242
## [1023,] 16563.51 4003.242
## [1024,] 16573.51 4003.242
## [1025,] 16583.51 4003.242
## [1026,] 16593.51 4003.242
## [1027,] 16603.51 4003.242
## [1028,] 16613.51 4003.242
## [1029,] 16623.51 4003.242
## [1030,] 16633.51 4003.242
## [1031,] 16643.51 4003.242
## [1032,] 16653.51 4003.242
## [1033,] 16663.51 4003.242
## [1034,] 16673.51 4003.242
## [1035,] 16683.51 4003.242
## [1036,] 16693.51 4003.242
## [1037,] 16703.51 4003.242
## [1038,] 16713.51 4003.242
## [1039,] 16723.51 4003.242
## [1040,] 16733.51 4003.242
## [1041,] 16743.51 4003.242
## [1042,] 16753.51 4003.242
## [1043,] 16763.51 4003.242
## [1044,] 16773.51 4003.242
## [1045,] 16783.51 4003.242
## [1046,] 16793.51 4003.242
## [1047,] 16803.51 4003.242
## [1048,] 16813.51 4003.242
## [1049,] 16823.51 4003.242
## [1050,] 16833.51 4003.242
## [1051,] 16843.51 4003.242
## [1052,] 16853.51 4003.242
## [1053,] 16863.51 4003.242
## [1054,] 16873.51 4003.242
## [1055,] 16883.51 4003.242
## [1056,] 16893.51 4003.242
## [1057,] 16903.51 4003.242
## [1058,] 16913.51 4003.242
## [1059,] 16923.51 4003.242
## [1060,] 16933.51 4003.242
## [1061,] 16943.51 4003.242
## [1062,] 16953.51 4003.242
## [1063,] 16963.51 4003.242
## [1064,] 16973.51 4003.242
## [1065,] 16983.51 4003.242
## [1066,] 16993.51 4003.242
## [1067,] 17003.51 4003.242
## [1068,] 17013.51 4003.242
## [1069,] 17023.51 4003.242
## [1070,] 17033.51 4003.242
## [1071,] 17043.51 4003.242
## [1072,] 17053.51 4003.242
## [1073,] 17063.51 4003.242
## [1074,] 17073.51 4003.242
## [1075,] 17083.51 4003.242
## [1076,] 17093.51 4003.242
## [1077,] 17103.51 4003.242
## [1078,] 17113.51 4003.242
## [1079,] 17123.51 4003.242
## [1080,] 17133.51 4003.242
## [1081,] 17143.51 4003.242
## [1082,] 17153.51 4003.242
## [1083,] 17163.51 4003.242
## [1084,] 17173.51 4003.242
## [1085,] 17183.51 4003.242
## [1086,] 17193.51 4003.242
## [1087,] 17203.51 4003.242
## [1088,] 17213.51 4003.242
## [1089,] 17223.51 4003.242
## [1090,] 17233.51 4003.242
## [1091,] 16153.51 4013.242
## [1092,] 16163.51 4013.242
## [1093,] 16173.51 4013.242
## [1094,] 16183.51 4013.242
## [1095,] 16193.51 4013.242
## [1096,] 16203.51 4013.242
## [1097,] 16213.51 4013.242
## [1098,] 16223.51 4013.242
## [1099,] 16233.51 4013.242
## [1100,] 16243.51 4013.242
## [1101,] 16253.51 4013.242
## [1102,] 16263.51 4013.242
## [1103,] 16273.51 4013.242
## [1104,] 16283.51 4013.242
## [1105,] 16293.51 4013.242
## [1106,] 16303.51 4013.242
## [1107,] 16313.51 4013.242
## [1108,] 16323.51 4013.242
## [1109,] 16333.51 4013.242
## [1110,] 16343.51 4013.242
## [1111,] 16353.51 4013.242
## [1112,] 16363.51 4013.242
## [1113,] 16373.51 4013.242
## [1114,] 16383.51 4013.242
## [1115,] 16393.51 4013.242
## [1116,] 16403.51 4013.242
## [1117,] 16413.51 4013.242
## [1118,] 16423.51 4013.242
## [1119,] 16433.51 4013.242
## [1120,] 16443.51 4013.242
## [1121,] 16453.51 4013.242
## [1122,] 16463.51 4013.242
## [1123,] 16473.51 4013.242
## [1124,] 16483.51 4013.242
## [1125,] 16493.51 4013.242
## [1126,] 16503.51 4013.242
## [1127,] 16513.51 4013.242
## [1128,] 16523.51 4013.242
## [1129,] 16533.51 4013.242
## [1130,] 16543.51 4013.242
## [1131,] 16553.51 4013.242
## [1132,] 16563.51 4013.242
## [1133,] 16573.51 4013.242
## [1134,] 16583.51 4013.242
## [1135,] 16593.51 4013.242
## [1136,] 16603.51 4013.242
## [1137,] 16613.51 4013.242
## [1138,] 16623.51 4013.242
## [1139,] 16633.51 4013.242
## [1140,] 16643.51 4013.242
## [1141,] 16653.51 4013.242
## [1142,] 16663.51 4013.242
## [1143,] 16673.51 4013.242
## [1144,] 16683.51 4013.242
## [1145,] 16693.51 4013.242
## [1146,] 16703.51 4013.242
## [1147,] 16713.51 4013.242
## [1148,] 16723.51 4013.242
## [1149,] 16733.51 4013.242
## [1150,] 16743.51 4013.242
## [1151,] 16753.51 4013.242
## [1152,] 16763.51 4013.242
## [1153,] 16773.51 4013.242
## [1154,] 16783.51 4013.242
## [1155,] 16793.51 4013.242
## [1156,] 16803.51 4013.242
## [1157,] 16813.51 4013.242
## [1158,] 16823.51 4013.242
## [1159,] 16833.51 4013.242
## [1160,] 16843.51 4013.242
## [1161,] 16853.51 4013.242
## [1162,] 16863.51 4013.242
## [1163,] 16873.51 4013.242
## [1164,] 16883.51 4013.242
## [1165,] 16893.51 4013.242
## [1166,] 16903.51 4013.242
## [1167,] 16913.51 4013.242
## [1168,] 16923.51 4013.242
## [1169,] 16933.51 4013.242
## [1170,] 16943.51 4013.242
## [1171,] 16953.51 4013.242
## [1172,] 16963.51 4013.242
## [1173,] 16973.51 4013.242
## [1174,] 16983.51 4013.242
## [1175,] 16993.51 4013.242
## [1176,] 17003.51 4013.242
## [1177,] 17013.51 4013.242
## [1178,] 17023.51 4013.242
## [1179,] 17033.51 4013.242
## [1180,] 17043.51 4013.242
## [1181,] 17053.51 4013.242
## [1182,] 17063.51 4013.242
## [1183,] 17073.51 4013.242
## [1184,] 17083.51 4013.242
## [1185,] 17093.51 4013.242
## [1186,] 17103.51 4013.242
## [1187,] 17113.51 4013.242
## [1188,] 17123.51 4013.242
## [1189,] 17133.51 4013.242
## [1190,] 17143.51 4013.242
## [1191,] 17153.51 4013.242
## [1192,] 17163.51 4013.242
## [1193,] 17173.51 4013.242
## [1194,] 17183.51 4013.242
## [1195,] 17193.51 4013.242
## [1196,] 17203.51 4013.242
## [1197,] 17213.51 4013.242
## [1198,] 17223.51 4013.242
## [1199,] 17233.51 4013.242
## [1200,] 16153.51 4023.242
## [1201,] 16163.51 4023.242
## [1202,] 16173.51 4023.242
## [1203,] 16183.51 4023.242
## [1204,] 16193.51 4023.242
## [1205,] 16203.51 4023.242
## [1206,] 16213.51 4023.242
## [1207,] 16223.51 4023.242
## [1208,] 16233.51 4023.242
## [1209,] 16243.51 4023.242
## [1210,] 16253.51 4023.242
## [1211,] 16263.51 4023.242
## [1212,] 16273.51 4023.242
## [1213,] 16283.51 4023.242
## [1214,] 16293.51 4023.242
## [1215,] 16303.51 4023.242
## [1216,] 16313.51 4023.242
## [1217,] 16323.51 4023.242
## [1218,] 16333.51 4023.242
## [1219,] 16343.51 4023.242
## [1220,] 16353.51 4023.242
## [1221,] 16363.51 4023.242
## [1222,] 16373.51 4023.242
## [1223,] 16383.51 4023.242
## [1224,] 16393.51 4023.242
## [1225,] 16403.51 4023.242
## [1226,] 16413.51 4023.242
## [1227,] 16423.51 4023.242
## [1228,] 16433.51 4023.242
## [1229,] 16443.51 4023.242
## [1230,] 16453.51 4023.242
## [1231,] 16463.51 4023.242
## [1232,] 16473.51 4023.242
## [1233,] 16483.51 4023.242
## [1234,] 16493.51 4023.242
## [1235,] 16503.51 4023.242
## [1236,] 16513.51 4023.242
## [1237,] 16523.51 4023.242
## [1238,] 16533.51 4023.242
## [1239,] 16543.51 4023.242
## [1240,] 16553.51 4023.242
## [1241,] 16563.51 4023.242
## [1242,] 16573.51 4023.242
## [1243,] 16583.51 4023.242
## [1244,] 16593.51 4023.242
## [1245,] 16603.51 4023.242
## [1246,] 16613.51 4023.242
## [1247,] 16623.51 4023.242
## [1248,] 16633.51 4023.242
## [1249,] 16643.51 4023.242
## [1250,] 16653.51 4023.242
## [1251,] 16663.51 4023.242
## [1252,] 16673.51 4023.242
## [1253,] 16683.51 4023.242
## [1254,] 16693.51 4023.242
## [1255,] 16703.51 4023.242
## [1256,] 16713.51 4023.242
## [1257,] 16723.51 4023.242
## [1258,] 16733.51 4023.242
## [1259,] 16743.51 4023.242
## [1260,] 16753.51 4023.242
## [1261,] 16763.51 4023.242
## [1262,] 16773.51 4023.242
## [1263,] 16783.51 4023.242
## [1264,] 16793.51 4023.242
## [1265,] 16803.51 4023.242
## [1266,] 16813.51 4023.242
## [1267,] 16823.51 4023.242
## [1268,] 16833.51 4023.242
## [1269,] 16843.51 4023.242
## [1270,] 16853.51 4023.242
## [1271,] 16863.51 4023.242
## [1272,] 16873.51 4023.242
## [1273,] 16883.51 4023.242
## [1274,] 16893.51 4023.242
## [1275,] 16903.51 4023.242
## [1276,] 16913.51 4023.242
## [1277,] 16923.51 4023.242
## [1278,] 16933.51 4023.242
## [1279,] 16943.51 4023.242
## [1280,] 16953.51 4023.242
## [1281,] 16963.51 4023.242
## [1282,] 16973.51 4023.242
## [1283,] 16983.51 4023.242
## [1284,] 16993.51 4023.242
## [1285,] 17003.51 4023.242
## [1286,] 17013.51 4023.242
## [1287,] 17023.51 4023.242
## [1288,] 17033.51 4023.242
## [1289,] 17043.51 4023.242
## [1290,] 17053.51 4023.242
## [1291,] 17063.51 4023.242
## [1292,] 17073.51 4023.242
## [1293,] 17083.51 4023.242
## [1294,] 17093.51 4023.242
## [1295,] 17103.51 4023.242
## [1296,] 17113.51 4023.242
## [1297,] 17123.51 4023.242
## [1298,] 17133.51 4023.242
## [1299,] 17143.51 4023.242
## [1300,] 17153.51 4023.242
## [1301,] 17163.51 4023.242
## [1302,] 17173.51 4023.242
## [1303,] 17183.51 4023.242
## [1304,] 17193.51 4023.242
## [1305,] 17203.51 4023.242
## [1306,] 17213.51 4023.242
## [1307,] 17223.51 4023.242
## [1308,] 17233.51 4023.242
## [1309,] 16153.51 4033.242
## [1310,] 16163.51 4033.242
## [1311,] 16173.51 4033.242
## [1312,] 16183.51 4033.242
## [1313,] 16193.51 4033.242
## [1314,] 16203.51 4033.242
## [1315,] 16213.51 4033.242
## [1316,] 16223.51 4033.242
## [1317,] 16233.51 4033.242
## [1318,] 16243.51 4033.242
## [1319,] 16253.51 4033.242
## [1320,] 16263.51 4033.242
## [1321,] 16273.51 4033.242
## [1322,] 16283.51 4033.242
## [1323,] 16293.51 4033.242
## [1324,] 16303.51 4033.242
## [1325,] 16313.51 4033.242
## [1326,] 16323.51 4033.242
## [1327,] 16333.51 4033.242
## [1328,] 16343.51 4033.242
## [1329,] 16353.51 4033.242
## [1330,] 16363.51 4033.242
## [1331,] 16373.51 4033.242
## [1332,] 16383.51 4033.242
## [1333,] 16393.51 4033.242
## [1334,] 16403.51 4033.242
## [1335,] 16413.51 4033.242
## [1336,] 16423.51 4033.242
## [1337,] 16433.51 4033.242
## [1338,] 16443.51 4033.242
## [1339,] 16453.51 4033.242
## [1340,] 16463.51 4033.242
## [1341,] 16473.51 4033.242
## [1342,] 16483.51 4033.242
## [1343,] 16493.51 4033.242
## [1344,] 16503.51 4033.242
## [1345,] 16513.51 4033.242
## [1346,] 16523.51 4033.242
## [1347,] 16533.51 4033.242
## [1348,] 16543.51 4033.242
## [1349,] 16553.51 4033.242
## [1350,] 16563.51 4033.242
## [1351,] 16573.51 4033.242
## [1352,] 16583.51 4033.242
## [1353,] 16593.51 4033.242
## [1354,] 16603.51 4033.242
## [1355,] 16613.51 4033.242
## [1356,] 16623.51 4033.242
## [1357,] 16633.51 4033.242
## [1358,] 16643.51 4033.242
## [1359,] 16653.51 4033.242
## [1360,] 16663.51 4033.242
## [1361,] 16673.51 4033.242
## [1362,] 16683.51 4033.242
## [1363,] 16693.51 4033.242
## [1364,] 16703.51 4033.242
## [1365,] 16713.51 4033.242
## [1366,] 16723.51 4033.242
## [1367,] 16733.51 4033.242
## [1368,] 16743.51 4033.242
## [1369,] 16753.51 4033.242
## [1370,] 16763.51 4033.242
## [1371,] 16773.51 4033.242
## [1372,] 16783.51 4033.242
## [1373,] 16793.51 4033.242
## [1374,] 16803.51 4033.242
## [1375,] 16813.51 4033.242
## [1376,] 16823.51 4033.242
## [1377,] 16833.51 4033.242
## [1378,] 16843.51 4033.242
## [1379,] 16853.51 4033.242
## [1380,] 16863.51 4033.242
## [1381,] 16873.51 4033.242
## [1382,] 16883.51 4033.242
## [1383,] 16893.51 4033.242
## [1384,] 16903.51 4033.242
## [1385,] 16913.51 4033.242
## [1386,] 16923.51 4033.242
## [1387,] 16933.51 4033.242
## [1388,] 16943.51 4033.242
## [1389,] 16953.51 4033.242
## [1390,] 16963.51 4033.242
## [1391,] 16973.51 4033.242
## [1392,] 16983.51 4033.242
## [1393,] 16993.51 4033.242
## [1394,] 17003.51 4033.242
## [1395,] 17013.51 4033.242
## [1396,] 17023.51 4033.242
## [1397,] 17033.51 4033.242
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## [1418,] 16153.51 4043.242
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## [1448,] 16453.51 4043.242
## [1449,] 16463.51 4043.242
## [1450,] 16473.51 4043.242
## [1451,] 16483.51 4043.242
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## [1454,] 16513.51 4043.242
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## [1458,] 16553.51 4043.242
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## [1466,] 16633.51 4043.242
## [1467,] 16643.51 4043.242
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## [1470,] 16673.51 4043.242
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## [1477,] 16743.51 4043.242
## [1478,] 16753.51 4043.242
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## [1480,] 16773.51 4043.242
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## [1482,] 16793.51 4043.242
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## [1484,] 16813.51 4043.242
## [1485,] 16823.51 4043.242
## [1486,] 16833.51 4043.242
## [1487,] 16843.51 4043.242
## [1488,] 16853.51 4043.242
## [1489,] 16863.51 4043.242
## [1490,] 16873.51 4043.242
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## [1492,] 16893.51 4043.242
## [1493,] 16903.51 4043.242
## [1494,] 16913.51 4043.242
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## [1496,] 16933.51 4043.242
## [1497,] 16943.51 4043.242
## [1498,] 16953.51 4043.242
## [1499,] 16963.51 4043.242
## [1500,] 16973.51 4043.242
## [1501,] 16983.51 4043.242
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## [1510,] 17073.51 4043.242
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## [1527,] 16153.51 4053.242
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## [1530,] 16183.51 4053.242
## [1531,] 16193.51 4053.242
## [1532,] 16203.51 4053.242
## [1533,] 16213.51 4053.242
## [1534,] 16223.51 4053.242
## [1535,] 16233.51 4053.242
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## [1544,] 16323.51 4053.242
## [1545,] 16333.51 4053.242
## [1546,] 16343.51 4053.242
## [1547,] 16353.51 4053.242
## [1548,] 16363.51 4053.242
## [1549,] 16373.51 4053.242
## [1550,] 16383.51 4053.242
## [1551,] 16393.51 4053.242
## [1552,] 16403.51 4053.242
## [1553,] 16413.51 4053.242
## [1554,] 16423.51 4053.242
## [1555,] 16433.51 4053.242
## [1556,] 16443.51 4053.242
## [1557,] 16453.51 4053.242
## [1558,] 16463.51 4053.242
## [1559,] 16473.51 4053.242
## [1560,] 16483.51 4053.242
## [1561,] 16493.51 4053.242
## [1562,] 16503.51 4053.242
## [1563,] 16513.51 4053.242
## [1564,] 16523.51 4053.242
## [1565,] 16533.51 4053.242
## [1566,] 16543.51 4053.242
## [1567,] 16553.51 4053.242
## [1568,] 16563.51 4053.242
## [1569,] 16573.51 4053.242
## [1570,] 16583.51 4053.242
## [1571,] 16593.51 4053.242
## [1572,] 16603.51 4053.242
## [1573,] 16613.51 4053.242
## [1574,] 16623.51 4053.242
## [1575,] 16633.51 4053.242
## [1576,] 16643.51 4053.242
## [1577,] 16653.51 4053.242
## [1578,] 16663.51 4053.242
## [1579,] 16673.51 4053.242
## [1580,] 16683.51 4053.242
## [1581,] 16693.51 4053.242
## [1582,] 16703.51 4053.242
## [1583,] 16713.51 4053.242
## [1584,] 16723.51 4053.242
## [1585,] 16733.51 4053.242
## [1586,] 16743.51 4053.242
## [1587,] 16753.51 4053.242
## [1588,] 16763.51 4053.242
## [1589,] 16773.51 4053.242
## [1590,] 16783.51 4053.242
## [1591,] 16793.51 4053.242
## [1592,] 16803.51 4053.242
## [1593,] 16813.51 4053.242
## [1594,] 16823.51 4053.242
## [1595,] 16833.51 4053.242
## [1596,] 16843.51 4053.242
## [1597,] 16853.51 4053.242
## [1598,] 16863.51 4053.242
## [1599,] 16873.51 4053.242
## [1600,] 16883.51 4053.242
## [1601,] 16893.51 4053.242
## [1602,] 16903.51 4053.242
## [1603,] 16913.51 4053.242
## [1604,] 16923.51 4053.242
## [1605,] 16933.51 4053.242
## [1606,] 16943.51 4053.242
## [1607,] 16953.51 4053.242
## [1608,] 16963.51 4053.242
## [1609,] 16973.51 4053.242
## [1610,] 16983.51 4053.242
## [1611,] 16993.51 4053.242
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## [1617,] 17053.51 4053.242
## [1618,] 17063.51 4053.242
## [1619,] 17073.51 4053.242
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## [1621,] 17093.51 4053.242
## [1622,] 17103.51 4053.242
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## [1626,] 17143.51 4053.242
## [1627,] 17153.51 4053.242
## [1628,] 17163.51 4053.242
## [1629,] 17173.51 4053.242
## [1630,] 17183.51 4053.242
## [1631,] 17193.51 4053.242
## [1632,] 17203.51 4053.242
## [1633,] 17213.51 4053.242
## [1634,] 17223.51 4053.242
## [1635,] 17233.51 4053.242
## [1636,] 16153.51 4063.242
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## [1638,] 16173.51 4063.242
## [1639,] 16183.51 4063.242
## [1640,] 16193.51 4063.242
## [1641,] 16203.51 4063.242
## [1642,] 16213.51 4063.242
## [1643,] 16223.51 4063.242
## [1644,] 16233.51 4063.242
## [1645,] 16243.51 4063.242
## [1646,] 16253.51 4063.242
## [1647,] 16263.51 4063.242
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## [1649,] 16283.51 4063.242
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## [1651,] 16303.51 4063.242
## [1652,] 16313.51 4063.242
## [1653,] 16323.51 4063.242
## [1654,] 16333.51 4063.242
## [1655,] 16343.51 4063.242
## [1656,] 16353.51 4063.242
## [1657,] 16363.51 4063.242
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## [1659,] 16383.51 4063.242
## [1660,] 16393.51 4063.242
## [1661,] 16403.51 4063.242
## [1662,] 16413.51 4063.242
## [1663,] 16423.51 4063.242
## [1664,] 16433.51 4063.242
## [1665,] 16443.51 4063.242
## [1666,] 16453.51 4063.242
## [1667,] 16463.51 4063.242
## [1668,] 16473.51 4063.242
## [1669,] 16483.51 4063.242
## [1670,] 16493.51 4063.242
## [1671,] 16503.51 4063.242
## [1672,] 16513.51 4063.242
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## [1674,] 16533.51 4063.242
## [1675,] 16543.51 4063.242
## [1676,] 16553.51 4063.242
## [1677,] 16563.51 4063.242
## [1678,] 16573.51 4063.242
## [1679,] 16583.51 4063.242
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## [1681,] 16603.51 4063.242
## [1682,] 16613.51 4063.242
## [1683,] 16623.51 4063.242
## [1684,] 16633.51 4063.242
## [1685,] 16643.51 4063.242
## [1686,] 16653.51 4063.242
## [1687,] 16663.51 4063.242
## [1688,] 16673.51 4063.242
## [1689,] 16683.51 4063.242
## [1690,] 16693.51 4063.242
## [1691,] 16703.51 4063.242
## [1692,] 16713.51 4063.242
## [1693,] 16723.51 4063.242
## [1694,] 16733.51 4063.242
## [1695,] 16743.51 4063.242
## [1696,] 16753.51 4063.242
## [1697,] 16763.51 4063.242
## [1698,] 16773.51 4063.242
## [1699,] 16783.51 4063.242
## [1700,] 16793.51 4063.242
## [1701,] 16803.51 4063.242
## [1702,] 16813.51 4063.242
## [1703,] 16823.51 4063.242
## [1704,] 16833.51 4063.242
## [1705,] 16843.51 4063.242
## [1706,] 16853.51 4063.242
## [1707,] 16863.51 4063.242
## [1708,] 16873.51 4063.242
## [1709,] 16883.51 4063.242
## [1710,] 16893.51 4063.242
## [1711,] 16903.51 4063.242
## [1712,] 16913.51 4063.242
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## [1714,] 16933.51 4063.242
## [1715,] 16943.51 4063.242
## [1716,] 16953.51 4063.242
## [1717,] 16963.51 4063.242
## [1718,] 16973.51 4063.242
## [1719,] 16983.51 4063.242
## [1720,] 16993.51 4063.242
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## [1725,] 17043.51 4063.242
## [1726,] 17053.51 4063.242
## [1727,] 17063.51 4063.242
## [1728,] 17073.51 4063.242
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## [1730,] 17093.51 4063.242
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## [1735,] 17143.51 4063.242
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## [1738,] 17173.51 4063.242
## [1739,] 17183.51 4063.242
## [1740,] 17193.51 4063.242
## [1741,] 17203.51 4063.242
## [1742,] 17213.51 4063.242
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## [1744,] 17233.51 4063.242
## [1745,] 16153.51 4073.242
## [1746,] 16163.51 4073.242
## [1747,] 16173.51 4073.242
## [1748,] 16183.51 4073.242
## [1749,] 16193.51 4073.242
## [1750,] 16203.51 4073.242
## [1751,] 16213.51 4073.242
## [1752,] 16223.51 4073.242
## [1753,] 16233.51 4073.242
## [1754,] 16243.51 4073.242
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## [1756,] 16263.51 4073.242
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## [1760,] 16303.51 4073.242
## [1761,] 16313.51 4073.242
## [1762,] 16323.51 4073.242
## [1763,] 16333.51 4073.242
## [1764,] 16343.51 4073.242
## [1765,] 16353.51 4073.242
## [1766,] 16363.51 4073.242
## [1767,] 16373.51 4073.242
## [1768,] 16383.51 4073.242
## [1769,] 16393.51 4073.242
## [1770,] 16403.51 4073.242
## [1771,] 16413.51 4073.242
## [1772,] 16423.51 4073.242
## [1773,] 16433.51 4073.242
## [1774,] 16443.51 4073.242
## [1775,] 16453.51 4073.242
## [1776,] 16463.51 4073.242
## [1777,] 16473.51 4073.242
## [1778,] 16483.51 4073.242
## [1779,] 16493.51 4073.242
## [1780,] 16503.51 4073.242
## [1781,] 16513.51 4073.242
## [1782,] 16523.51 4073.242
## [1783,] 16533.51 4073.242
## [1784,] 16543.51 4073.242
## [1785,] 16553.51 4073.242
## [1786,] 16563.51 4073.242
## [1787,] 16573.51 4073.242
## [1788,] 16583.51 4073.242
## [1789,] 16593.51 4073.242
## [1790,] 16603.51 4073.242
## [1791,] 16613.51 4073.242
## [1792,] 16623.51 4073.242
## [1793,] 16633.51 4073.242
## [1794,] 16643.51 4073.242
## [1795,] 16653.51 4073.242
## [1796,] 16663.51 4073.242
## [1797,] 16673.51 4073.242
## [1798,] 16683.51 4073.242
## [1799,] 16693.51 4073.242
## [1800,] 16703.51 4073.242
## [1801,] 16713.51 4073.242
## [1802,] 16723.51 4073.242
## [1803,] 16733.51 4073.242
## [1804,] 16743.51 4073.242
## [1805,] 16753.51 4073.242
## [1806,] 16763.51 4073.242
## [1807,] 16773.51 4073.242
## [1808,] 16783.51 4073.242
## [1809,] 16793.51 4073.242
## [1810,] 16803.51 4073.242
## [1811,] 16813.51 4073.242
## [1812,] 16823.51 4073.242
## [1813,] 16833.51 4073.242
## [1814,] 16843.51 4073.242
## [1815,] 16853.51 4073.242
## [1816,] 16863.51 4073.242
## [1817,] 16873.51 4073.242
## [1818,] 16883.51 4073.242
## [1819,] 16893.51 4073.242
## [1820,] 16903.51 4073.242
## [1821,] 16913.51 4073.242
## [1822,] 16923.51 4073.242
## [1823,] 16933.51 4073.242
## [1824,] 16943.51 4073.242
## [1825,] 16953.51 4073.242
## [1826,] 16963.51 4073.242
## [1827,] 16973.51 4073.242
## [1828,] 16983.51 4073.242
## [1829,] 16993.51 4073.242
## [1830,] 17003.51 4073.242
## [1831,] 17013.51 4073.242
## [1832,] 17023.51 4073.242
## [1833,] 17033.51 4073.242
## [1834,] 17043.51 4073.242
## [1835,] 17053.51 4073.242
## [1836,] 17063.51 4073.242
## [1837,] 17073.51 4073.242
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## [1839,] 17093.51 4073.242
## [1840,] 17103.51 4073.242
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## [1843,] 17133.51 4073.242
## [1844,] 17143.51 4073.242
## [1845,] 17153.51 4073.242
## [1846,] 17163.51 4073.242
## [1847,] 17173.51 4073.242
## [1848,] 17183.51 4073.242
## [1849,] 17193.51 4073.242
## [1850,] 17203.51 4073.242
## [1851,] 17213.51 4073.242
## [1852,] 17223.51 4073.242
## [1853,] 17233.51 4073.242
## [1854,] 16153.51 4083.242
## [1855,] 16163.51 4083.242
## [1856,] 16173.51 4083.242
## [1857,] 16183.51 4083.242
## [1858,] 16193.51 4083.242
## [1859,] 16203.51 4083.242
## [1860,] 16213.51 4083.242
## [1861,] 16223.51 4083.242
## [1862,] 16233.51 4083.242
## [1863,] 16243.51 4083.242
## [1864,] 16253.51 4083.242
## [1865,] 16263.51 4083.242
## [1866,] 16273.51 4083.242
## [1867,] 16283.51 4083.242
## [1868,] 16293.51 4083.242
## [1869,] 16303.51 4083.242
## [1870,] 16313.51 4083.242
## [1871,] 16323.51 4083.242
## [1872,] 16333.51 4083.242
## [1873,] 16343.51 4083.242
## [1874,] 16353.51 4083.242
## [1875,] 16363.51 4083.242
## [1876,] 16373.51 4083.242
## [1877,] 16383.51 4083.242
## [1878,] 16393.51 4083.242
## [1879,] 16403.51 4083.242
## [1880,] 16413.51 4083.242
## [1881,] 16423.51 4083.242
## [1882,] 16433.51 4083.242
## [1883,] 16443.51 4083.242
## [1884,] 16453.51 4083.242
## [1885,] 16463.51 4083.242
## [1886,] 16473.51 4083.242
## [1887,] 16483.51 4083.242
## [1888,] 16493.51 4083.242
## [1889,] 16503.51 4083.242
## [1890,] 16513.51 4083.242
## [1891,] 16523.51 4083.242
## [1892,] 16533.51 4083.242
## [1893,] 16543.51 4083.242
## [1894,] 16553.51 4083.242
## [1895,] 16563.51 4083.242
## [1896,] 16573.51 4083.242
## [1897,] 16583.51 4083.242
## [1898,] 16593.51 4083.242
## [1899,] 16603.51 4083.242
## [1900,] 16613.51 4083.242
## [1901,] 16623.51 4083.242
## [1902,] 16633.51 4083.242
## [1903,] 16643.51 4083.242
## [1904,] 16653.51 4083.242
## [1905,] 16663.51 4083.242
## [1906,] 16673.51 4083.242
## [1907,] 16683.51 4083.242
## [1908,] 16693.51 4083.242
## [1909,] 16703.51 4083.242
## [1910,] 16713.51 4083.242
## [1911,] 16723.51 4083.242
## [1912,] 16733.51 4083.242
## [1913,] 16743.51 4083.242
## [1914,] 16753.51 4083.242
## [1915,] 16763.51 4083.242
## [1916,] 16773.51 4083.242
## [1917,] 16783.51 4083.242
## [1918,] 16793.51 4083.242
## [1919,] 16803.51 4083.242
## [1920,] 16813.51 4083.242
## [1921,] 16823.51 4083.242
## [1922,] 16833.51 4083.242
## [1923,] 16843.51 4083.242
## [1924,] 16853.51 4083.242
## [1925,] 16863.51 4083.242
## [1926,] 16873.51 4083.242
## [1927,] 16883.51 4083.242
## [1928,] 16893.51 4083.242
## [1929,] 16903.51 4083.242
## [1930,] 16913.51 4083.242
## [1931,] 16923.51 4083.242
## [1932,] 16933.51 4083.242
## [1933,] 16943.51 4083.242
## [1934,] 16953.51 4083.242
## [1935,] 16963.51 4083.242
## [1936,] 16973.51 4083.242
## [1937,] 16983.51 4083.242
## [1938,] 16993.51 4083.242
## [1939,] 17003.51 4083.242
## [1940,] 17013.51 4083.242
## [1941,] 17023.51 4083.242
## [1942,] 17033.51 4083.242
## [1943,] 17043.51 4083.242
## [1944,] 17053.51 4083.242
## [1945,] 17063.51 4083.242
## [1946,] 17073.51 4083.242
## [1947,] 17083.51 4083.242
## [1948,] 17093.51 4083.242
## [1949,] 17103.51 4083.242
## [1950,] 17113.51 4083.242
## [1951,] 17123.51 4083.242
## [1952,] 17133.51 4083.242
## [1953,] 17143.51 4083.242
## [1954,] 17153.51 4083.242
## [1955,] 17163.51 4083.242
## [1956,] 17173.51 4083.242
## [1957,] 17183.51 4083.242
## [1958,] 17193.51 4083.242
## [1959,] 17203.51 4083.242
## [1960,] 17213.51 4083.242
## [1961,] 17223.51 4083.242
## [1962,] 17233.51 4083.242
## [1963,] 16153.51 4093.242
## [1964,] 16163.51 4093.242
## [1965,] 16173.51 4093.242
## [1966,] 16183.51 4093.242
## [1967,] 16193.51 4093.242
## [1968,] 16203.51 4093.242
## [1969,] 16213.51 4093.242
## [1970,] 16223.51 4093.242
## [1971,] 16233.51 4093.242
## [1972,] 16243.51 4093.242
## [1973,] 16253.51 4093.242
## [1974,] 16263.51 4093.242
## [1975,] 16273.51 4093.242
## [1976,] 16283.51 4093.242
## [1977,] 16293.51 4093.242
## [1978,] 16303.51 4093.242
## [1979,] 16313.51 4093.242
## [1980,] 16323.51 4093.242
## [1981,] 16333.51 4093.242
## [1982,] 16343.51 4093.242
## [1983,] 16353.51 4093.242
## [1984,] 16363.51 4093.242
## [1985,] 16373.51 4093.242
## [1986,] 16383.51 4093.242
## [1987,] 16393.51 4093.242
## [1988,] 16403.51 4093.242
## [1989,] 16413.51 4093.242
## [1990,] 16423.51 4093.242
## [1991,] 16433.51 4093.242
## [1992,] 16443.51 4093.242
## [1993,] 16453.51 4093.242
## [1994,] 16463.51 4093.242
## [1995,] 16473.51 4093.242
## [1996,] 16483.51 4093.242
## [1997,] 16493.51 4093.242
## [1998,] 16503.51 4093.242
## [1999,] 16513.51 4093.242
## [2000,] 16523.51 4093.242
## [2001,] 16533.51 4093.242
## [2002,] 16543.51 4093.242
## [2003,] 16553.51 4093.242
## [2004,] 16563.51 4093.242
## [2005,] 16573.51 4093.242
## [2006,] 16583.51 4093.242
## [2007,] 16593.51 4093.242
## [2008,] 16603.51 4093.242
## [2009,] 16613.51 4093.242
## [2010,] 16623.51 4093.242
## [2011,] 16633.51 4093.242
## [2012,] 16643.51 4093.242
## [2013,] 16653.51 4093.242
## [2014,] 16663.51 4093.242
## [2015,] 16673.51 4093.242
## [2016,] 16683.51 4093.242
## [2017,] 16693.51 4093.242
## [2018,] 16703.51 4093.242
## [2019,] 16713.51 4093.242
## [2020,] 16723.51 4093.242
## [2021,] 16733.51 4093.242
## [2022,] 16743.51 4093.242
## [2023,] 16753.51 4093.242
## [2024,] 16763.51 4093.242
## [2025,] 16773.51 4093.242
## [2026,] 16783.51 4093.242
## [2027,] 16793.51 4093.242
## [2028,] 16803.51 4093.242
## [2029,] 16813.51 4093.242
## [2030,] 16823.51 4093.242
## [2031,] 16833.51 4093.242
## [2032,] 16843.51 4093.242
## [2033,] 16853.51 4093.242
## [2034,] 16863.51 4093.242
## [2035,] 16873.51 4093.242
## [2036,] 16883.51 4093.242
## [2037,] 16893.51 4093.242
## [2038,] 16903.51 4093.242
## [2039,] 16913.51 4093.242
## [2040,] 16923.51 4093.242
## [2041,] 16933.51 4093.242
## [2042,] 16943.51 4093.242
## [2043,] 16953.51 4093.242
## [2044,] 16963.51 4093.242
## [2045,] 16973.51 4093.242
## [2046,] 16983.51 4093.242
## [2047,] 16993.51 4093.242
## [2048,] 17003.51 4093.242
## [2049,] 17013.51 4093.242
## [2050,] 17023.51 4093.242
## [2051,] 17033.51 4093.242
## [2052,] 17043.51 4093.242
## [2053,] 17053.51 4093.242
## [2054,] 17063.51 4093.242
## [2055,] 17073.51 4093.242
## [2056,] 17083.51 4093.242
## [2057,] 17093.51 4093.242
## [2058,] 17103.51 4093.242
## [2059,] 17113.51 4093.242
## [2060,] 17123.51 4093.242
## [2061,] 17133.51 4093.242
## [2062,] 17143.51 4093.242
## [2063,] 17153.51 4093.242
## [2064,] 17163.51 4093.242
## [2065,] 17173.51 4093.242
## [2066,] 17183.51 4093.242
## [2067,] 17193.51 4093.242
## [2068,] 17203.51 4093.242
## [2069,] 17213.51 4093.242
## [2070,] 17223.51 4093.242
## [2071,] 17233.51 4093.242
## [2072,] 16153.51 4103.242
## [2073,] 16163.51 4103.242
## [2074,] 16173.51 4103.242
## [2075,] 16183.51 4103.242
## [2076,] 16193.51 4103.242
## [2077,] 16203.51 4103.242
## [2078,] 16213.51 4103.242
## [2079,] 16223.51 4103.242
## [2080,] 16233.51 4103.242
## [2081,] 16243.51 4103.242
## [2082,] 16253.51 4103.242
## [2083,] 16263.51 4103.242
## [2084,] 16273.51 4103.242
## [2085,] 16283.51 4103.242
## [2086,] 16293.51 4103.242
## [2087,] 16303.51 4103.242
## [2088,] 16313.51 4103.242
## [2089,] 16323.51 4103.242
## [2090,] 16333.51 4103.242
## [2091,] 16343.51 4103.242
## [2092,] 16353.51 4103.242
## [2093,] 16363.51 4103.242
## [2094,] 16373.51 4103.242
## [2095,] 16383.51 4103.242
## [2096,] 16393.51 4103.242
## [2097,] 16403.51 4103.242
## [2098,] 16413.51 4103.242
## [2099,] 16423.51 4103.242
## [2100,] 16433.51 4103.242
## [2101,] 16443.51 4103.242
## [2102,] 16453.51 4103.242
## [2103,] 16463.51 4103.242
## [2104,] 16473.51 4103.242
## [2105,] 16483.51 4103.242
## [2106,] 16493.51 4103.242
## [2107,] 16503.51 4103.242
## [2108,] 16513.51 4103.242
## [2109,] 16523.51 4103.242
## [2110,] 16533.51 4103.242
## [2111,] 16543.51 4103.242
## [2112,] 16553.51 4103.242
## [2113,] 16563.51 4103.242
## [2114,] 16573.51 4103.242
## [2115,] 16583.51 4103.242
## [2116,] 16593.51 4103.242
## [2117,] 16603.51 4103.242
## [2118,] 16613.51 4103.242
## [2119,] 16623.51 4103.242
## [2120,] 16633.51 4103.242
## [2121,] 16643.51 4103.242
## [2122,] 16653.51 4103.242
## [2123,] 16663.51 4103.242
## [2124,] 16673.51 4103.242
## [2125,] 16683.51 4103.242
## [2126,] 16693.51 4103.242
## [2127,] 16703.51 4103.242
## [2128,] 16713.51 4103.242
## [2129,] 16723.51 4103.242
## [2130,] 16733.51 4103.242
## [2131,] 16743.51 4103.242
## [2132,] 16753.51 4103.242
## [2133,] 16763.51 4103.242
## [2134,] 16773.51 4103.242
## [2135,] 16783.51 4103.242
## [2136,] 16793.51 4103.242
## [2137,] 16803.51 4103.242
## [2138,] 16813.51 4103.242
## [2139,] 16823.51 4103.242
## [2140,] 16833.51 4103.242
## [2141,] 16843.51 4103.242
## [2142,] 16853.51 4103.242
## [2143,] 16863.51 4103.242
## [2144,] 16873.51 4103.242
## [2145,] 16883.51 4103.242
## [2146,] 16893.51 4103.242
## [2147,] 16903.51 4103.242
## [2148,] 16913.51 4103.242
## [2149,] 16923.51 4103.242
## [2150,] 16933.51 4103.242
## [2151,] 16943.51 4103.242
## [2152,] 16953.51 4103.242
## [2153,] 16963.51 4103.242
## [2154,] 16973.51 4103.242
## [2155,] 16983.51 4103.242
## [2156,] 16993.51 4103.242
## [2157,] 17003.51 4103.242
## [2158,] 17013.51 4103.242
## [2159,] 17023.51 4103.242
## [2160,] 17033.51 4103.242
## [2161,] 17043.51 4103.242
## [2162,] 17053.51 4103.242
## [2163,] 17063.51 4103.242
## [2164,] 17073.51 4103.242
## [2165,] 17083.51 4103.242
## [2166,] 17093.51 4103.242
## [2167,] 17103.51 4103.242
## [2168,] 17113.51 4103.242
## [2169,] 17123.51 4103.242
## [2170,] 17133.51 4103.242
## [2171,] 17143.51 4103.242
## [2172,] 17153.51 4103.242
## [2173,] 17163.51 4103.242
## [2174,] 17173.51 4103.242
## [2175,] 17183.51 4103.242
## [2176,] 17193.51 4103.242
## [2177,] 17203.51 4103.242
## [2178,] 17213.51 4103.242
## [2179,] 17223.51 4103.242
## [2180,] 17233.51 4103.242
## [2181,] 16153.51 4113.242
## [2182,] 16163.51 4113.242
## [2183,] 16173.51 4113.242
## [2184,] 16183.51 4113.242
## [2185,] 16193.51 4113.242
## [2186,] 16203.51 4113.242
## [2187,] 16213.51 4113.242
## [2188,] 16223.51 4113.242
## [2189,] 16233.51 4113.242
## [2190,] 16243.51 4113.242
## [2191,] 16253.51 4113.242
## [2192,] 16263.51 4113.242
## [2193,] 16273.51 4113.242
## [2194,] 16283.51 4113.242
## [2195,] 16293.51 4113.242
## [2196,] 16303.51 4113.242
## [2197,] 16313.51 4113.242
## [2198,] 16323.51 4113.242
## [2199,] 16333.51 4113.242
## [2200,] 16343.51 4113.242
## [2201,] 16353.51 4113.242
## [2202,] 16363.51 4113.242
## [2203,] 16373.51 4113.242
## [2204,] 16383.51 4113.242
## [2205,] 16393.51 4113.242
## [2206,] 16403.51 4113.242
## [2207,] 16413.51 4113.242
## [2208,] 16423.51 4113.242
## [2209,] 16433.51 4113.242
## [2210,] 16443.51 4113.242
## [2211,] 16453.51 4113.242
## [2212,] 16463.51 4113.242
## [2213,] 16473.51 4113.242
## [2214,] 16483.51 4113.242
## [2215,] 16493.51 4113.242
## [2216,] 16503.51 4113.242
## [2217,] 16513.51 4113.242
## [2218,] 16523.51 4113.242
## [2219,] 16533.51 4113.242
## [2220,] 16543.51 4113.242
## [2221,] 16553.51 4113.242
## [2222,] 16563.51 4113.242
## [2223,] 16573.51 4113.242
## [2224,] 16583.51 4113.242
## [2225,] 16593.51 4113.242
## [2226,] 16603.51 4113.242
## [2227,] 16613.51 4113.242
## [2228,] 16623.51 4113.242
## [2229,] 16633.51 4113.242
## [2230,] 16643.51 4113.242
## [2231,] 16653.51 4113.242
## [2232,] 16663.51 4113.242
## [2233,] 16673.51 4113.242
## [2234,] 16683.51 4113.242
## [2235,] 16693.51 4113.242
## [2236,] 16703.51 4113.242
## [2237,] 16713.51 4113.242
## [2238,] 16723.51 4113.242
## [2239,] 16733.51 4113.242
## [2240,] 16743.51 4113.242
## [2241,] 16753.51 4113.242
## [2242,] 16763.51 4113.242
## [2243,] 16773.51 4113.242
## [2244,] 16783.51 4113.242
## [2245,] 16793.51 4113.242
## [2246,] 16803.51 4113.242
## [2247,] 16813.51 4113.242
## [2248,] 16823.51 4113.242
## [2249,] 16833.51 4113.242
## [2250,] 16843.51 4113.242
## [2251,] 16853.51 4113.242
## [2252,] 16863.51 4113.242
## [2253,] 16873.51 4113.242
## [2254,] 16883.51 4113.242
## [2255,] 16893.51 4113.242
## [2256,] 16903.51 4113.242
## [2257,] 16913.51 4113.242
## [2258,] 16923.51 4113.242
## [2259,] 16933.51 4113.242
## [2260,] 16943.51 4113.242
## [2261,] 16953.51 4113.242
## [2262,] 16963.51 4113.242
## [2263,] 16973.51 4113.242
## [2264,] 16983.51 4113.242
## [2265,] 16993.51 4113.242
## [2266,] 17003.51 4113.242
## [2267,] 17013.51 4113.242
## [2268,] 17023.51 4113.242
## [2269,] 17033.51 4113.242
## [2270,] 17043.51 4113.242
## [2271,] 17053.51 4113.242
## [2272,] 17063.51 4113.242
## [2273,] 17073.51 4113.242
## [2274,] 17083.51 4113.242
## [2275,] 17093.51 4113.242
## [2276,] 17103.51 4113.242
## [2277,] 17113.51 4113.242
## [2278,] 17123.51 4113.242
## [2279,] 17133.51 4113.242
## [2280,] 17143.51 4113.242
## [2281,] 17153.51 4113.242
## [2282,] 17163.51 4113.242
## [2283,] 17173.51 4113.242
## [2284,] 17183.51 4113.242
## [2285,] 17193.51 4113.242
## [2286,] 17203.51 4113.242
## [2287,] 17213.51 4113.242
## [2288,] 17223.51 4113.242
## [2289,] 17233.51 4113.242
## [2290,] 16153.51 4123.242
## [2291,] 16163.51 4123.242
## [2292,] 16173.51 4123.242
## [2293,] 16183.51 4123.242
## [2294,] 16193.51 4123.242
## [2295,] 16203.51 4123.242
## [2296,] 16213.51 4123.242
## [2297,] 16223.51 4123.242
## [2298,] 16233.51 4123.242
## [2299,] 16243.51 4123.242
## [2300,] 16253.51 4123.242
## [2301,] 16263.51 4123.242
## [2302,] 16273.51 4123.242
## [2303,] 16283.51 4123.242
## [2304,] 16293.51 4123.242
## [2305,] 16303.51 4123.242
## [2306,] 16313.51 4123.242
## [2307,] 16323.51 4123.242
## [2308,] 16333.51 4123.242
## [2309,] 16343.51 4123.242
## [2310,] 16353.51 4123.242
## [2311,] 16363.51 4123.242
## [2312,] 16373.51 4123.242
## [2313,] 16383.51 4123.242
## [2314,] 16393.51 4123.242
## [2315,] 16403.51 4123.242
## [2316,] 16413.51 4123.242
## [2317,] 16423.51 4123.242
## [2318,] 16433.51 4123.242
## [2319,] 16443.51 4123.242
## [2320,] 16453.51 4123.242
## [2321,] 16463.51 4123.242
## [2322,] 16473.51 4123.242
## [2323,] 16483.51 4123.242
## [2324,] 16493.51 4123.242
## [2325,] 16503.51 4123.242
## [2326,] 16513.51 4123.242
## [2327,] 16523.51 4123.242
## [2328,] 16533.51 4123.242
## [2329,] 16543.51 4123.242
## [2330,] 16553.51 4123.242
## [2331,] 16563.51 4123.242
## [2332,] 16573.51 4123.242
## [2333,] 16583.51 4123.242
## [2334,] 16593.51 4123.242
## [2335,] 16603.51 4123.242
## [2336,] 16613.51 4123.242
## [2337,] 16623.51 4123.242
## [2338,] 16633.51 4123.242
## [2339,] 16643.51 4123.242
## [2340,] 16653.51 4123.242
## [2341,] 16663.51 4123.242
## [2342,] 16673.51 4123.242
## [2343,] 16683.51 4123.242
## [2344,] 16693.51 4123.242
## [2345,] 16703.51 4123.242
## [2346,] 16713.51 4123.242
## [2347,] 16723.51 4123.242
## [2348,] 16733.51 4123.242
## [2349,] 16743.51 4123.242
## [2350,] 16753.51 4123.242
## [2351,] 16763.51 4123.242
## [2352,] 16773.51 4123.242
## [2353,] 16783.51 4123.242
## [2354,] 16793.51 4123.242
## [2355,] 16803.51 4123.242
## [2356,] 16813.51 4123.242
## [2357,] 16823.51 4123.242
## [2358,] 16833.51 4123.242
## [2359,] 16843.51 4123.242
## [2360,] 16853.51 4123.242
## [2361,] 16863.51 4123.242
## [2362,] 16873.51 4123.242
## [2363,] 16883.51 4123.242
## [2364,] 16893.51 4123.242
## [2365,] 16903.51 4123.242
## [2366,] 16913.51 4123.242
## [2367,] 16923.51 4123.242
## [2368,] 16933.51 4123.242
## [2369,] 16943.51 4123.242
## [2370,] 16953.51 4123.242
## [2371,] 16963.51 4123.242
## [2372,] 16973.51 4123.242
## [2373,] 16983.51 4123.242
## [2374,] 16993.51 4123.242
## [2375,] 17003.51 4123.242
## [2376,] 17013.51 4123.242
## [2377,] 17023.51 4123.242
## [2378,] 17033.51 4123.242
## [2379,] 17043.51 4123.242
## [2380,] 17053.51 4123.242
## [2381,] 17063.51 4123.242
## [2382,] 17073.51 4123.242
## [2383,] 17083.51 4123.242
## [2384,] 17093.51 4123.242
## [2385,] 17103.51 4123.242
## [2386,] 17113.51 4123.242
## [2387,] 17123.51 4123.242
## [2388,] 17133.51 4123.242
## [2389,] 17143.51 4123.242
## [2390,] 17153.51 4123.242
## [2391,] 17163.51 4123.242
## [2392,] 17173.51 4123.242
## [2393,] 17183.51 4123.242
## [2394,] 17193.51 4123.242
## [2395,] 17203.51 4123.242
## [2396,] 17213.51 4123.242
## [2397,] 17223.51 4123.242
## [2398,] 17233.51 4123.242
## [2399,] 16153.51 4133.242
## [2400,] 16163.51 4133.242
## [2401,] 16173.51 4133.242
## [2402,] 16183.51 4133.242
## [2403,] 16193.51 4133.242
## [2404,] 16203.51 4133.242
## [2405,] 16213.51 4133.242
## [2406,] 16223.51 4133.242
## [2407,] 16233.51 4133.242
## [2408,] 16243.51 4133.242
## [2409,] 16253.51 4133.242
## [2410,] 16263.51 4133.242
## [2411,] 16273.51 4133.242
## [2412,] 16283.51 4133.242
## [2413,] 16293.51 4133.242
## [2414,] 16303.51 4133.242
## [2415,] 16313.51 4133.242
## [2416,] 16323.51 4133.242
## [2417,] 16333.51 4133.242
## [2418,] 16343.51 4133.242
## [2419,] 16353.51 4133.242
## [2420,] 16363.51 4133.242
## [2421,] 16373.51 4133.242
## [2422,] 16383.51 4133.242
## [2423,] 16393.51 4133.242
## [2424,] 16403.51 4133.242
## [2425,] 16413.51 4133.242
## [2426,] 16423.51 4133.242
## [2427,] 16433.51 4133.242
## [2428,] 16443.51 4133.242
## [2429,] 16453.51 4133.242
## [2430,] 16463.51 4133.242
## [2431,] 16473.51 4133.242
## [2432,] 16483.51 4133.242
## [2433,] 16493.51 4133.242
## [2434,] 16503.51 4133.242
## [2435,] 16513.51 4133.242
## [2436,] 16523.51 4133.242
## [2437,] 16533.51 4133.242
## [2438,] 16543.51 4133.242
## [2439,] 16553.51 4133.242
## [2440,] 16563.51 4133.242
## [2441,] 16573.51 4133.242
## [2442,] 16583.51 4133.242
## [2443,] 16593.51 4133.242
## [2444,] 16603.51 4133.242
## [2445,] 16613.51 4133.242
## [2446,] 16623.51 4133.242
## [2447,] 16633.51 4133.242
## [2448,] 16643.51 4133.242
## [2449,] 16653.51 4133.242
## [2450,] 16663.51 4133.242
## [2451,] 16673.51 4133.242
## [2452,] 16683.51 4133.242
## [2453,] 16693.51 4133.242
## [2454,] 16703.51 4133.242
## [2455,] 16713.51 4133.242
## [2456,] 16723.51 4133.242
## [2457,] 16733.51 4133.242
## [2458,] 16743.51 4133.242
## [2459,] 16753.51 4133.242
## [2460,] 16763.51 4133.242
## [2461,] 16773.51 4133.242
## [2462,] 16783.51 4133.242
## [2463,] 16793.51 4133.242
## [2464,] 16803.51 4133.242
## [2465,] 16813.51 4133.242
## [2466,] 16823.51 4133.242
## [2467,] 16833.51 4133.242
## [2468,] 16843.51 4133.242
## [2469,] 16853.51 4133.242
## [2470,] 16863.51 4133.242
## [2471,] 16873.51 4133.242
## [2472,] 16883.51 4133.242
## [2473,] 16893.51 4133.242
## [2474,] 16903.51 4133.242
## [2475,] 16913.51 4133.242
## [2476,] 16923.51 4133.242
## [2477,] 16933.51 4133.242
## [2478,] 16943.51 4133.242
## [2479,] 16953.51 4133.242
## [2480,] 16963.51 4133.242
## [2481,] 16973.51 4133.242
## [2482,] 16983.51 4133.242
## [2483,] 16993.51 4133.242
## [2484,] 17003.51 4133.242
## [2485,] 17013.51 4133.242
## [2486,] 17023.51 4133.242
## [2487,] 17033.51 4133.242
## [2488,] 17043.51 4133.242
## [2489,] 17053.51 4133.242
## [2490,] 17063.51 4133.242
## [2491,] 17073.51 4133.242
## [2492,] 17083.51 4133.242
## [2493,] 17093.51 4133.242
## [2494,] 17103.51 4133.242
## [2495,] 17113.51 4133.242
## [2496,] 17123.51 4133.242
## [2497,] 17133.51 4133.242
## [2498,] 17143.51 4133.242
## [2499,] 17153.51 4133.242
## [2500,] 17163.51 4133.242
## [2501,] 17173.51 4133.242
## [2502,] 17183.51 4133.242
## [2503,] 17193.51 4133.242
## [2504,] 17203.51 4133.242
## [2505,] 17213.51 4133.242
## [2506,] 17223.51 4133.242
## [2507,] 17233.51 4133.242
## [2508,] 16153.51 4143.242
## [2509,] 16163.51 4143.242
## [2510,] 16173.51 4143.242
## [2511,] 16183.51 4143.242
## [2512,] 16193.51 4143.242
## [2513,] 16203.51 4143.242
## [2514,] 16213.51 4143.242
## [2515,] 16223.51 4143.242
## [2516,] 16233.51 4143.242
## [2517,] 16243.51 4143.242
## [2518,] 16253.51 4143.242
## [2519,] 16263.51 4143.242
## [2520,] 16273.51 4143.242
## [2521,] 16283.51 4143.242
## [2522,] 16293.51 4143.242
## [2523,] 16303.51 4143.242
## [2524,] 16313.51 4143.242
## [2525,] 16323.51 4143.242
## [2526,] 16333.51 4143.242
## [2527,] 16343.51 4143.242
## [2528,] 16353.51 4143.242
## [2529,] 16363.51 4143.242
## [2530,] 16373.51 4143.242
## [2531,] 16383.51 4143.242
## [2532,] 16393.51 4143.242
## [2533,] 16403.51 4143.242
## [2534,] 16413.51 4143.242
## [2535,] 16423.51 4143.242
## [2536,] 16433.51 4143.242
## [2537,] 16443.51 4143.242
## [2538,] 16453.51 4143.242
## [2539,] 16463.51 4143.242
## [2540,] 16473.51 4143.242
## [2541,] 16483.51 4143.242
## [2542,] 16493.51 4143.242
## [2543,] 16503.51 4143.242
## [2544,] 16513.51 4143.242
## [2545,] 16523.51 4143.242
## [2546,] 16533.51 4143.242
## [2547,] 16543.51 4143.242
## [2548,] 16553.51 4143.242
## [2549,] 16563.51 4143.242
## [2550,] 16573.51 4143.242
## [2551,] 16583.51 4143.242
## [2552,] 16593.51 4143.242
## [2553,] 16603.51 4143.242
## [2554,] 16613.51 4143.242
## [2555,] 16623.51 4143.242
## [2556,] 16633.51 4143.242
## [2557,] 16643.51 4143.242
## [2558,] 16653.51 4143.242
## [2559,] 16663.51 4143.242
## [2560,] 16673.51 4143.242
## [2561,] 16683.51 4143.242
## [2562,] 16693.51 4143.242
## [2563,] 16703.51 4143.242
## [2564,] 16713.51 4143.242
## [2565,] 16723.51 4143.242
## [2566,] 16733.51 4143.242
## [2567,] 16743.51 4143.242
## [2568,] 16753.51 4143.242
## [2569,] 16763.51 4143.242
## [2570,] 16773.51 4143.242
## [2571,] 16783.51 4143.242
## [2572,] 16793.51 4143.242
## [2573,] 16803.51 4143.242
## [2574,] 16813.51 4143.242
## [2575,] 16823.51 4143.242
## [2576,] 16833.51 4143.242
## [2577,] 16843.51 4143.242
## [2578,] 16853.51 4143.242
## [2579,] 16863.51 4143.242
## [2580,] 16873.51 4143.242
## [2581,] 16883.51 4143.242
## [2582,] 16893.51 4143.242
## [2583,] 16903.51 4143.242
## [2584,] 16913.51 4143.242
## [2585,] 16923.51 4143.242
## [2586,] 16933.51 4143.242
## [2587,] 16943.51 4143.242
## [2588,] 16953.51 4143.242
## [2589,] 16963.51 4143.242
## [2590,] 16973.51 4143.242
## [2591,] 16983.51 4143.242
## [2592,] 16993.51 4143.242
## [2593,] 17003.51 4143.242
## [2594,] 17013.51 4143.242
## [2595,] 17023.51 4143.242
## [2596,] 17033.51 4143.242
## [2597,] 17043.51 4143.242
## [2598,] 17053.51 4143.242
## [2599,] 17063.51 4143.242
## [2600,] 17073.51 4143.242
## [2601,] 17083.51 4143.242
## [2602,] 17093.51 4143.242
## [2603,] 17103.51 4143.242
## [2604,] 17113.51 4143.242
## [2605,] 17123.51 4143.242
## [2606,] 17133.51 4143.242
## [2607,] 17143.51 4143.242
## [2608,] 17153.51 4143.242
## [2609,] 17163.51 4143.242
## [2610,] 17173.51 4143.242
## [2611,] 17183.51 4143.242
## [2612,] 17193.51 4143.242
## [2613,] 17203.51 4143.242
## [2614,] 17213.51 4143.242
## [2615,] 17223.51 4143.242
## [2616,] 17233.51 4143.242
## [2617,] 16153.51 4153.242
## [2618,] 16163.51 4153.242
## [2619,] 16173.51 4153.242
## [2620,] 16183.51 4153.242
## [2621,] 16193.51 4153.242
## [2622,] 16203.51 4153.242
## [2623,] 16213.51 4153.242
## [2624,] 16223.51 4153.242
## [2625,] 16233.51 4153.242
## [2626,] 16243.51 4153.242
## [2627,] 16253.51 4153.242
## [2628,] 16263.51 4153.242
## [2629,] 16273.51 4153.242
## [2630,] 16283.51 4153.242
## [2631,] 16293.51 4153.242
## [2632,] 16303.51 4153.242
## [2633,] 16313.51 4153.242
## [2634,] 16323.51 4153.242
## [2635,] 16333.51 4153.242
## [2636,] 16343.51 4153.242
## [2637,] 16353.51 4153.242
## [2638,] 16363.51 4153.242
## [2639,] 16373.51 4153.242
## [2640,] 16383.51 4153.242
## [2641,] 16393.51 4153.242
## [2642,] 16403.51 4153.242
## [2643,] 16413.51 4153.242
## [2644,] 16423.51 4153.242
## [2645,] 16433.51 4153.242
## [2646,] 16443.51 4153.242
## [2647,] 16453.51 4153.242
## [2648,] 16463.51 4153.242
## [2649,] 16473.51 4153.242
## [2650,] 16483.51 4153.242
## [2651,] 16493.51 4153.242
## [2652,] 16503.51 4153.242
## [2653,] 16513.51 4153.242
## [2654,] 16523.51 4153.242
## [2655,] 16533.51 4153.242
## [2656,] 16543.51 4153.242
## [2657,] 16553.51 4153.242
## [2658,] 16563.51 4153.242
## [2659,] 16573.51 4153.242
## [2660,] 16583.51 4153.242
## [2661,] 16593.51 4153.242
## [2662,] 16603.51 4153.242
## [2663,] 16613.51 4153.242
## [2664,] 16623.51 4153.242
## [2665,] 16633.51 4153.242
## [2666,] 16643.51 4153.242
## [2667,] 16653.51 4153.242
## [2668,] 16663.51 4153.242
## [2669,] 16673.51 4153.242
## [2670,] 16683.51 4153.242
## [2671,] 16693.51 4153.242
## [2672,] 16703.51 4153.242
## [2673,] 16713.51 4153.242
## [2674,] 16723.51 4153.242
## [2675,] 16733.51 4153.242
## [2676,] 16743.51 4153.242
## [2677,] 16753.51 4153.242
## [2678,] 16763.51 4153.242
## [2679,] 16773.51 4153.242
## [2680,] 16783.51 4153.242
## [2681,] 16793.51 4153.242
## [2682,] 16803.51 4153.242
## [2683,] 16813.51 4153.242
## [2684,] 16823.51 4153.242
## [2685,] 16833.51 4153.242
## [2686,] 16843.51 4153.242
## [2687,] 16853.51 4153.242
## [2688,] 16863.51 4153.242
## [2689,] 16873.51 4153.242
## [2690,] 16883.51 4153.242
## [2691,] 16893.51 4153.242
## [2692,] 16903.51 4153.242
## [2693,] 16913.51 4153.242
## [2694,] 16923.51 4153.242
## [2695,] 16933.51 4153.242
## [2696,] 16943.51 4153.242
## [2697,] 16953.51 4153.242
## [2698,] 16963.51 4153.242
## [2699,] 16973.51 4153.242
## [2700,] 16983.51 4153.242
## [2701,] 16993.51 4153.242
## [2702,] 17003.51 4153.242
## [2703,] 17013.51 4153.242
## [2704,] 17023.51 4153.242
## [2705,] 17033.51 4153.242
## [2706,] 17043.51 4153.242
## [2707,] 17053.51 4153.242
## [2708,] 17063.51 4153.242
## [2709,] 17073.51 4153.242
## [2710,] 17083.51 4153.242
## [2711,] 17093.51 4153.242
## [2712,] 17103.51 4153.242
## [2713,] 17113.51 4153.242
## [2714,] 17123.51 4153.242
## [2715,] 17133.51 4153.242
## [2716,] 17143.51 4153.242
## [2717,] 17153.51 4153.242
## [2718,] 17163.51 4153.242
## [2719,] 17173.51 4153.242
## [2720,] 17183.51 4153.242
## [2721,] 17193.51 4153.242
## [2722,] 17203.51 4153.242
## [2723,] 17213.51 4153.242
## [2724,] 17223.51 4153.242
## [2725,] 17233.51 4153.242
## [2726,] 16153.51 4163.242
## [2727,] 16163.51 4163.242
## [2728,] 16173.51 4163.242
## [2729,] 16183.51 4163.242
## [2730,] 16193.51 4163.242
## [2731,] 16203.51 4163.242
## [2732,] 16213.51 4163.242
## [2733,] 16223.51 4163.242
## [2734,] 16233.51 4163.242
## [2735,] 16243.51 4163.242
## [2736,] 16253.51 4163.242
## [2737,] 16263.51 4163.242
## [2738,] 16273.51 4163.242
## [2739,] 16283.51 4163.242
## [2740,] 16293.51 4163.242
## [2741,] 16303.51 4163.242
## [2742,] 16313.51 4163.242
## [2743,] 16323.51 4163.242
## [2744,] 16333.51 4163.242
## [2745,] 16343.51 4163.242
## [2746,] 16353.51 4163.242
## [2747,] 16363.51 4163.242
## [2748,] 16373.51 4163.242
## [2749,] 16383.51 4163.242
## [2750,] 16393.51 4163.242
## [2751,] 16403.51 4163.242
## [2752,] 16413.51 4163.242
## [2753,] 16423.51 4163.242
## [2754,] 16433.51 4163.242
## [2755,] 16443.51 4163.242
## [2756,] 16453.51 4163.242
## [2757,] 16463.51 4163.242
## [2758,] 16473.51 4163.242
## [2759,] 16483.51 4163.242
## [2760,] 16493.51 4163.242
## [2761,] 16503.51 4163.242
## [2762,] 16513.51 4163.242
## [2763,] 16523.51 4163.242
## [2764,] 16533.51 4163.242
## [2765,] 16543.51 4163.242
## [2766,] 16553.51 4163.242
## [2767,] 16563.51 4163.242
## [2768,] 16573.51 4163.242
## [2769,] 16583.51 4163.242
## [2770,] 16593.51 4163.242
## [2771,] 16603.51 4163.242
## [2772,] 16613.51 4163.242
## [2773,] 16623.51 4163.242
## [2774,] 16633.51 4163.242
## [2775,] 16643.51 4163.242
## [2776,] 16653.51 4163.242
## [2777,] 16663.51 4163.242
## [2778,] 16673.51 4163.242
## [2779,] 16683.51 4163.242
## [2780,] 16693.51 4163.242
## [2781,] 16703.51 4163.242
## [2782,] 16713.51 4163.242
## [2783,] 16723.51 4163.242
## [2784,] 16733.51 4163.242
## [2785,] 16743.51 4163.242
## [2786,] 16753.51 4163.242
## [2787,] 16763.51 4163.242
## [2788,] 16773.51 4163.242
## [2789,] 16783.51 4163.242
## [2790,] 16793.51 4163.242
## [2791,] 16803.51 4163.242
## [2792,] 16813.51 4163.242
## [2793,] 16823.51 4163.242
## [2794,] 16833.51 4163.242
## [2795,] 16843.51 4163.242
## [2796,] 16853.51 4163.242
## [2797,] 16863.51 4163.242
## [2798,] 16873.51 4163.242
## [2799,] 16883.51 4163.242
## [2800,] 16893.51 4163.242
## [2801,] 16903.51 4163.242
## [2802,] 16913.51 4163.242
## [2803,] 16923.51 4163.242
## [2804,] 16933.51 4163.242
## [2805,] 16943.51 4163.242
## [2806,] 16953.51 4163.242
## [2807,] 16963.51 4163.242
## [2808,] 16973.51 4163.242
## [2809,] 16983.51 4163.242
## [2810,] 16993.51 4163.242
## [2811,] 17003.51 4163.242
## [2812,] 17013.51 4163.242
## [2813,] 17023.51 4163.242
## [2814,] 17033.51 4163.242
## [2815,] 17043.51 4163.242
## [2816,] 17053.51 4163.242
## [2817,] 17063.51 4163.242
## [2818,] 17073.51 4163.242
## [2819,] 17083.51 4163.242
## [2820,] 17093.51 4163.242
## [2821,] 17103.51 4163.242
## [2822,] 17113.51 4163.242
## [2823,] 17123.51 4163.242
## [2824,] 17133.51 4163.242
## [2825,] 17143.51 4163.242
## [2826,] 17153.51 4163.242
## [2827,] 17163.51 4163.242
## [2828,] 17173.51 4163.242
## [2829,] 17183.51 4163.242
## [2830,] 17193.51 4163.242
## [2831,] 17203.51 4163.242
## [2832,] 17213.51 4163.242
## [2833,] 17223.51 4163.242
## [2834,] 17233.51 4163.242
## [2835,] 16153.51 4173.242
## [2836,] 16163.51 4173.242
## [2837,] 16173.51 4173.242
## [2838,] 16183.51 4173.242
## [2839,] 16193.51 4173.242
## [2840,] 16203.51 4173.242
## [2841,] 16213.51 4173.242
## [2842,] 16223.51 4173.242
## [2843,] 16233.51 4173.242
## [2844,] 16243.51 4173.242
## [2845,] 16253.51 4173.242
## [2846,] 16263.51 4173.242
## [2847,] 16273.51 4173.242
## [2848,] 16283.51 4173.242
## [2849,] 16293.51 4173.242
## [2850,] 16303.51 4173.242
## [2851,] 16313.51 4173.242
## [2852,] 16323.51 4173.242
## [2853,] 16333.51 4173.242
## [2854,] 16343.51 4173.242
## [2855,] 16353.51 4173.242
## [2856,] 16363.51 4173.242
## [2857,] 16373.51 4173.242
## [2858,] 16383.51 4173.242
## [2859,] 16393.51 4173.242
## [2860,] 16403.51 4173.242
## [2861,] 16413.51 4173.242
## [2862,] 16423.51 4173.242
## [2863,] 16433.51 4173.242
## [2864,] 16443.51 4173.242
## [2865,] 16453.51 4173.242
## [2866,] 16463.51 4173.242
## [2867,] 16473.51 4173.242
## [2868,] 16483.51 4173.242
## [2869,] 16493.51 4173.242
## [2870,] 16503.51 4173.242
## [2871,] 16513.51 4173.242
## [2872,] 16523.51 4173.242
## [2873,] 16533.51 4173.242
## [2874,] 16543.51 4173.242
## [2875,] 16553.51 4173.242
## [2876,] 16563.51 4173.242
## [2877,] 16573.51 4173.242
## [2878,] 16583.51 4173.242
## [2879,] 16593.51 4173.242
## [2880,] 16603.51 4173.242
## [2881,] 16613.51 4173.242
## [2882,] 16623.51 4173.242
## [2883,] 16633.51 4173.242
## [2884,] 16643.51 4173.242
## [2885,] 16653.51 4173.242
## [2886,] 16663.51 4173.242
## [2887,] 16673.51 4173.242
## [2888,] 16683.51 4173.242
## [2889,] 16693.51 4173.242
## [2890,] 16703.51 4173.242
## [2891,] 16713.51 4173.242
## [2892,] 16723.51 4173.242
## [2893,] 16733.51 4173.242
## [2894,] 16743.51 4173.242
## [2895,] 16753.51 4173.242
## [2896,] 16763.51 4173.242
## [2897,] 16773.51 4173.242
## [2898,] 16783.51 4173.242
## [2899,] 16793.51 4173.242
## [2900,] 16803.51 4173.242
## [2901,] 16813.51 4173.242
## [2902,] 16823.51 4173.242
## [2903,] 16833.51 4173.242
## [2904,] 16843.51 4173.242
## [2905,] 16853.51 4173.242
## [2906,] 16863.51 4173.242
## [2907,] 16873.51 4173.242
## [2908,] 16883.51 4173.242
## [2909,] 16893.51 4173.242
## [2910,] 16903.51 4173.242
## [2911,] 16913.51 4173.242
## [2912,] 16923.51 4173.242
## [2913,] 16933.51 4173.242
## [2914,] 16943.51 4173.242
## [2915,] 16953.51 4173.242
## [2916,] 16963.51 4173.242
## [2917,] 16973.51 4173.242
## [2918,] 16983.51 4173.242
## [2919,] 16993.51 4173.242
## [2920,] 17003.51 4173.242
## [2921,] 17013.51 4173.242
## [2922,] 17023.51 4173.242
## [2923,] 17033.51 4173.242
## [2924,] 17043.51 4173.242
## [2925,] 17053.51 4173.242
## [2926,] 17063.51 4173.242
## [2927,] 17073.51 4173.242
## [2928,] 17083.51 4173.242
## [2929,] 17093.51 4173.242
## [2930,] 17103.51 4173.242
## [2931,] 17113.51 4173.242
## [2932,] 17123.51 4173.242
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## [2936,] 17163.51 4173.242
## [2937,] 17173.51 4173.242
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## [2940,] 17203.51 4173.242
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## [2944,] 16153.51 4183.242
## [2945,] 16163.51 4183.242
## [2946,] 16173.51 4183.242
## [2947,] 16183.51 4183.242
## [2948,] 16193.51 4183.242
## [2949,] 16203.51 4183.242
## [2950,] 16213.51 4183.242
## [2951,] 16223.51 4183.242
## [2952,] 16233.51 4183.242
## [2953,] 16243.51 4183.242
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## [2955,] 16263.51 4183.242
## [2956,] 16273.51 4183.242
## [2957,] 16283.51 4183.242
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## [2959,] 16303.51 4183.242
## [2960,] 16313.51 4183.242
## [2961,] 16323.51 4183.242
## [2962,] 16333.51 4183.242
## [2963,] 16343.51 4183.242
## [2964,] 16353.51 4183.242
## [2965,] 16363.51 4183.242
## [2966,] 16373.51 4183.242
## [2967,] 16383.51 4183.242
## [2968,] 16393.51 4183.242
## [2969,] 16403.51 4183.242
## [2970,] 16413.51 4183.242
## [2971,] 16423.51 4183.242
## [2972,] 16433.51 4183.242
## [2973,] 16443.51 4183.242
## [2974,] 16453.51 4183.242
## [2975,] 16463.51 4183.242
## [2976,] 16473.51 4183.242
## [2977,] 16483.51 4183.242
## [2978,] 16493.51 4183.242
## [2979,] 16503.51 4183.242
## [2980,] 16513.51 4183.242
## [2981,] 16523.51 4183.242
## [2982,] 16533.51 4183.242
## [2983,] 16543.51 4183.242
## [2984,] 16553.51 4183.242
## [2985,] 16563.51 4183.242
## [2986,] 16573.51 4183.242
## [2987,] 16583.51 4183.242
## [2988,] 16593.51 4183.242
## [2989,] 16603.51 4183.242
## [2990,] 16613.51 4183.242
## [2991,] 16623.51 4183.242
## [2992,] 16633.51 4183.242
## [2993,] 16643.51 4183.242
## [2994,] 16653.51 4183.242
## [2995,] 16663.51 4183.242
## [2996,] 16673.51 4183.242
## [2997,] 16683.51 4183.242
## [2998,] 16693.51 4183.242
## [2999,] 16703.51 4183.242
## [3000,] 16713.51 4183.242
## [3001,] 16723.51 4183.242
## [3002,] 16733.51 4183.242
## [3003,] 16743.51 4183.242
## [3004,] 16753.51 4183.242
## [3005,] 16763.51 4183.242
## [3006,] 16773.51 4183.242
## [3007,] 16783.51 4183.242
## [3008,] 16793.51 4183.242
## [3009,] 16803.51 4183.242
## [3010,] 16813.51 4183.242
## [3011,] 16823.51 4183.242
## [3012,] 16833.51 4183.242
## [3013,] 16843.51 4183.242
## [3014,] 16853.51 4183.242
## [3015,] 16863.51 4183.242
## [3016,] 16873.51 4183.242
## [3017,] 16883.51 4183.242
## [3018,] 16893.51 4183.242
## [3019,] 16903.51 4183.242
## [3020,] 16913.51 4183.242
## [3021,] 16923.51 4183.242
## [3022,] 16933.51 4183.242
## [3023,] 16943.51 4183.242
## [3024,] 16953.51 4183.242
## [3025,] 16963.51 4183.242
## [3026,] 16973.51 4183.242
## [3027,] 16983.51 4183.242
## [3028,] 16993.51 4183.242
## [3029,] 17003.51 4183.242
## [3030,] 17013.51 4183.242
## [3031,] 17023.51 4183.242
## [3032,] 17033.51 4183.242
## [3033,] 17043.51 4183.242
## [3034,] 17053.51 4183.242
## [3035,] 17063.51 4183.242
## [3036,] 17073.51 4183.242
## [3037,] 17083.51 4183.242
## [3038,] 17093.51 4183.242
## [3039,] 17103.51 4183.242
## [3040,] 17113.51 4183.242
## [3041,] 17123.51 4183.242
## [3042,] 17133.51 4183.242
## [3043,] 17143.51 4183.242
## [3044,] 17153.51 4183.242
## [3045,] 17163.51 4183.242
## [3046,] 17173.51 4183.242
## [3047,] 17183.51 4183.242
## [3048,] 17193.51 4183.242
## [3049,] 17203.51 4183.242
## [3050,] 17213.51 4183.242
## [3051,] 17223.51 4183.242
## [3052,] 17233.51 4183.242
## [3053,] 16153.51 4193.242
## [3054,] 16163.51 4193.242
## [3055,] 16173.51 4193.242
## [3056,] 16183.51 4193.242
## [3057,] 16193.51 4193.242
## [3058,] 16203.51 4193.242
## [3059,] 16213.51 4193.242
## [3060,] 16223.51 4193.242
## [3061,] 16233.51 4193.242
## [3062,] 16243.51 4193.242
## [3063,] 16253.51 4193.242
## [3064,] 16263.51 4193.242
## [3065,] 16273.51 4193.242
## [3066,] 16283.51 4193.242
## [3067,] 16293.51 4193.242
## [3068,] 16303.51 4193.242
## [3069,] 16313.51 4193.242
## [3070,] 16323.51 4193.242
## [3071,] 16333.51 4193.242
## [3072,] 16343.51 4193.242
## [3073,] 16353.51 4193.242
## [3074,] 16363.51 4193.242
## [3075,] 16373.51 4193.242
## [3076,] 16383.51 4193.242
## [3077,] 16393.51 4193.242
## [3078,] 16403.51 4193.242
## [3079,] 16413.51 4193.242
## [3080,] 16423.51 4193.242
## [3081,] 16433.51 4193.242
## [3082,] 16443.51 4193.242
## [3083,] 16453.51 4193.242
## [3084,] 16463.51 4193.242
## [3085,] 16473.51 4193.242
## [3086,] 16483.51 4193.242
## [3087,] 16493.51 4193.242
## [3088,] 16503.51 4193.242
## [3089,] 16513.51 4193.242
## [3090,] 16523.51 4193.242
## [3091,] 16533.51 4193.242
## [3092,] 16543.51 4193.242
## [3093,] 16553.51 4193.242
## [3094,] 16563.51 4193.242
## [3095,] 16573.51 4193.242
## [3096,] 16583.51 4193.242
## [3097,] 16593.51 4193.242
## [3098,] 16603.51 4193.242
## [3099,] 16613.51 4193.242
## [3100,] 16623.51 4193.242
## [3101,] 16633.51 4193.242
## [3102,] 16643.51 4193.242
## [3103,] 16653.51 4193.242
## [3104,] 16663.51 4193.242
## [3105,] 16673.51 4193.242
## [3106,] 16683.51 4193.242
## [3107,] 16693.51 4193.242
## [3108,] 16703.51 4193.242
## [3109,] 16713.51 4193.242
## [3110,] 16723.51 4193.242
## [3111,] 16733.51 4193.242
## [3112,] 16743.51 4193.242
## [3113,] 16753.51 4193.242
## [3114,] 16763.51 4193.242
## [3115,] 16773.51 4193.242
## [3116,] 16783.51 4193.242
## [3117,] 16793.51 4193.242
## [3118,] 16803.51 4193.242
## [3119,] 16813.51 4193.242
## [3120,] 16823.51 4193.242
## [3121,] 16833.51 4193.242
## [3122,] 16843.51 4193.242
## [3123,] 16853.51 4193.242
## [3124,] 16863.51 4193.242
## [3125,] 16873.51 4193.242
## [3126,] 16883.51 4193.242
## [3127,] 16893.51 4193.242
## [3128,] 16903.51 4193.242
## [3129,] 16913.51 4193.242
## [3130,] 16923.51 4193.242
## [3131,] 16933.51 4193.242
## [3132,] 16943.51 4193.242
## [3133,] 16953.51 4193.242
## [3134,] 16963.51 4193.242
## [3135,] 16973.51 4193.242
## [3136,] 16983.51 4193.242
## [3137,] 16993.51 4193.242
## [3138,] 17003.51 4193.242
## [3139,] 17013.51 4193.242
## [3140,] 17023.51 4193.242
## [3141,] 17033.51 4193.242
## [3142,] 17043.51 4193.242
## [3143,] 17053.51 4193.242
## [3144,] 17063.51 4193.242
## [3145,] 17073.51 4193.242
## [3146,] 17083.51 4193.242
## [3147,] 17093.51 4193.242
## [3148,] 17103.51 4193.242
## [3149,] 17113.51 4193.242
## [3150,] 17123.51 4193.242
## [3151,] 17133.51 4193.242
## [3152,] 17143.51 4193.242
## [3153,] 17153.51 4193.242
## [3154,] 17163.51 4193.242
## [3155,] 17173.51 4193.242
## [3156,] 17183.51 4193.242
## [3157,] 17193.51 4193.242
## [3158,] 17203.51 4193.242
## [3159,] 17213.51 4193.242
## [3160,] 17223.51 4193.242
## [3161,] 17233.51 4193.242
## [3162,] 16153.51 4203.242
## [3163,] 16163.51 4203.242
## [3164,] 16173.51 4203.242
## [3165,] 16183.51 4203.242
## [3166,] 16193.51 4203.242
## [3167,] 16203.51 4203.242
## [3168,] 16213.51 4203.242
## [3169,] 16223.51 4203.242
## [3170,] 16233.51 4203.242
## [3171,] 16243.51 4203.242
## [3172,] 16253.51 4203.242
## [3173,] 16263.51 4203.242
## [3174,] 16273.51 4203.242
## [3175,] 16283.51 4203.242
## [3176,] 16293.51 4203.242
## [3177,] 16303.51 4203.242
## [3178,] 16313.51 4203.242
## [3179,] 16323.51 4203.242
## [3180,] 16333.51 4203.242
## [3181,] 16343.51 4203.242
## [3182,] 16353.51 4203.242
## [3183,] 16363.51 4203.242
## [3184,] 16373.51 4203.242
## [3185,] 16383.51 4203.242
## [3186,] 16393.51 4203.242
## [3187,] 16403.51 4203.242
## [3188,] 16413.51 4203.242
## [3189,] 16423.51 4203.242
## [3190,] 16433.51 4203.242
## [3191,] 16443.51 4203.242
## [3192,] 16453.51 4203.242
## [3193,] 16463.51 4203.242
## [3194,] 16473.51 4203.242
## [3195,] 16483.51 4203.242
## [3196,] 16493.51 4203.242
## [3197,] 16503.51 4203.242
## [3198,] 16513.51 4203.242
## [3199,] 16523.51 4203.242
## [3200,] 16533.51 4203.242
## [3201,] 16543.51 4203.242
## [3202,] 16553.51 4203.242
## [3203,] 16563.51 4203.242
## [3204,] 16573.51 4203.242
## [3205,] 16583.51 4203.242
## [3206,] 16593.51 4203.242
## [3207,] 16603.51 4203.242
## [3208,] 16613.51 4203.242
## [3209,] 16623.51 4203.242
## [3210,] 16633.51 4203.242
## [3211,] 16643.51 4203.242
## [3212,] 16653.51 4203.242
## [3213,] 16663.51 4203.242
## [3214,] 16673.51 4203.242
## [3215,] 16683.51 4203.242
## [3216,] 16693.51 4203.242
## [3217,] 16703.51 4203.242
## [3218,] 16713.51 4203.242
## [3219,] 16723.51 4203.242
## [3220,] 16733.51 4203.242
## [3221,] 16743.51 4203.242
## [3222,] 16753.51 4203.242
## [3223,] 16763.51 4203.242
## [3224,] 16773.51 4203.242
## [3225,] 16783.51 4203.242
## [3226,] 16793.51 4203.242
## [3227,] 16803.51 4203.242
## [3228,] 16813.51 4203.242
## [3229,] 16823.51 4203.242
## [3230,] 16833.51 4203.242
## [3231,] 16843.51 4203.242
## [3232,] 16853.51 4203.242
## [3233,] 16863.51 4203.242
## [3234,] 16873.51 4203.242
## [3235,] 16883.51 4203.242
## [3236,] 16893.51 4203.242
## [3237,] 16903.51 4203.242
## [3238,] 16913.51 4203.242
## [3239,] 16923.51 4203.242
## [3240,] 16933.51 4203.242
## [3241,] 16943.51 4203.242
## [3242,] 16953.51 4203.242
## [3243,] 16963.51 4203.242
## [3244,] 16973.51 4203.242
## [3245,] 16983.51 4203.242
## [3246,] 16993.51 4203.242
## [3247,] 17003.51 4203.242
## [3248,] 17013.51 4203.242
## [3249,] 17023.51 4203.242
## [3250,] 17033.51 4203.242
## [3251,] 17043.51 4203.242
## [3252,] 17053.51 4203.242
## [3253,] 17063.51 4203.242
## [3254,] 17073.51 4203.242
## [3255,] 17083.51 4203.242
## [3256,] 17093.51 4203.242
## [3257,] 17103.51 4203.242
## [3258,] 17113.51 4203.242
## [3259,] 17123.51 4203.242
## [3260,] 17133.51 4203.242
## [3261,] 17143.51 4203.242
## [3262,] 17153.51 4203.242
## [3263,] 17163.51 4203.242
## [3264,] 17173.51 4203.242
## [3265,] 17183.51 4203.242
## [3266,] 17193.51 4203.242
## [3267,] 17203.51 4203.242
## [3268,] 17213.51 4203.242
## [3269,] 17223.51 4203.242
## [3270,] 17233.51 4203.242
## [3271,] 16153.51 4213.242
## [3272,] 16163.51 4213.242
## [3273,] 16173.51 4213.242
## [3274,] 16183.51 4213.242
## [3275,] 16193.51 4213.242
## [3276,] 16203.51 4213.242
## [3277,] 16213.51 4213.242
## [3278,] 16223.51 4213.242
## [3279,] 16233.51 4213.242
## [3280,] 16243.51 4213.242
## [3281,] 16253.51 4213.242
## [3282,] 16263.51 4213.242
## [3283,] 16273.51 4213.242
## [3284,] 16283.51 4213.242
## [3285,] 16293.51 4213.242
## [3286,] 16303.51 4213.242
## [3287,] 16313.51 4213.242
## [3288,] 16323.51 4213.242
## [3289,] 16333.51 4213.242
## [3290,] 16343.51 4213.242
## [3291,] 16353.51 4213.242
## [3292,] 16363.51 4213.242
## [3293,] 16373.51 4213.242
## [3294,] 16383.51 4213.242
## [3295,] 16393.51 4213.242
## [3296,] 16403.51 4213.242
## [3297,] 16413.51 4213.242
## [3298,] 16423.51 4213.242
## [3299,] 16433.51 4213.242
## [3300,] 16443.51 4213.242
## [3301,] 16453.51 4213.242
## [3302,] 16463.51 4213.242
## [3303,] 16473.51 4213.242
## [3304,] 16483.51 4213.242
## [3305,] 16493.51 4213.242
## [3306,] 16503.51 4213.242
## [3307,] 16513.51 4213.242
## [3308,] 16523.51 4213.242
## [3309,] 16533.51 4213.242
## [3310,] 16543.51 4213.242
## [3311,] 16553.51 4213.242
## [3312,] 16563.51 4213.242
## [3313,] 16573.51 4213.242
## [3314,] 16583.51 4213.242
## [3315,] 16593.51 4213.242
## [3316,] 16603.51 4213.242
## [3317,] 16613.51 4213.242
## [3318,] 16623.51 4213.242
## [3319,] 16633.51 4213.242
## [3320,] 16643.51 4213.242
## [3321,] 16653.51 4213.242
## [3322,] 16663.51 4213.242
## [3323,] 16673.51 4213.242
## [3324,] 16683.51 4213.242
## [3325,] 16693.51 4213.242
## [3326,] 16703.51 4213.242
## [3327,] 16713.51 4213.242
## [3328,] 16723.51 4213.242
## [3329,] 16733.51 4213.242
## [3330,] 16743.51 4213.242
## [3331,] 16753.51 4213.242
## [3332,] 16763.51 4213.242
## [3333,] 16773.51 4213.242
## [3334,] 16783.51 4213.242
## [3335,] 16793.51 4213.242
## [3336,] 16803.51 4213.242
## [3337,] 16813.51 4213.242
## [3338,] 16823.51 4213.242
## [3339,] 16833.51 4213.242
## [3340,] 16843.51 4213.242
## [3341,] 16853.51 4213.242
## [3342,] 16863.51 4213.242
## [3343,] 16873.51 4213.242
## [3344,] 16883.51 4213.242
## [3345,] 16893.51 4213.242
## [3346,] 16903.51 4213.242
## [3347,] 16913.51 4213.242
## [3348,] 16923.51 4213.242
## [3349,] 16933.51 4213.242
## [3350,] 16943.51 4213.242
## [3351,] 16953.51 4213.242
## [3352,] 16963.51 4213.242
## [3353,] 16973.51 4213.242
## [3354,] 16983.51 4213.242
## [3355,] 16993.51 4213.242
## [3356,] 17003.51 4213.242
## [3357,] 17013.51 4213.242
## [3358,] 17023.51 4213.242
## [3359,] 17033.51 4213.242
## [3360,] 17043.51 4213.242
## [3361,] 17053.51 4213.242
## [3362,] 17063.51 4213.242
## [3363,] 17073.51 4213.242
## [3364,] 17083.51 4213.242
## [3365,] 17093.51 4213.242
## [3366,] 17103.51 4213.242
## [3367,] 17113.51 4213.242
## [3368,] 17123.51 4213.242
## [3369,] 17133.51 4213.242
## [3370,] 17143.51 4213.242
## [3371,] 17153.51 4213.242
## [3372,] 17163.51 4213.242
## [3373,] 17173.51 4213.242
## [3374,] 17183.51 4213.242
## [3375,] 17193.51 4213.242
## [3376,] 17203.51 4213.242
## [3377,] 17213.51 4213.242
## [3378,] 17223.51 4213.242
## [3379,] 17233.51 4213.242
## [3380,] 16153.51 4223.242
## [3381,] 16163.51 4223.242
## [3382,] 16173.51 4223.242
## [3383,] 16183.51 4223.242
## [3384,] 16193.51 4223.242
## [3385,] 16203.51 4223.242
## [3386,] 16213.51 4223.242
## [3387,] 16223.51 4223.242
## [3388,] 16233.51 4223.242
## [3389,] 16243.51 4223.242
## [3390,] 16253.51 4223.242
## [3391,] 16263.51 4223.242
## [3392,] 16273.51 4223.242
## [3393,] 16283.51 4223.242
## [3394,] 16293.51 4223.242
## [3395,] 16303.51 4223.242
## [3396,] 16313.51 4223.242
## [3397,] 16323.51 4223.242
## [3398,] 16333.51 4223.242
## [3399,] 16343.51 4223.242
## [3400,] 16353.51 4223.242
## [3401,] 16363.51 4223.242
## [3402,] 16373.51 4223.242
## [3403,] 16383.51 4223.242
## [3404,] 16393.51 4223.242
## [3405,] 16403.51 4223.242
## [3406,] 16413.51 4223.242
## [3407,] 16423.51 4223.242
## [3408,] 16433.51 4223.242
## [3409,] 16443.51 4223.242
## [3410,] 16453.51 4223.242
## [3411,] 16463.51 4223.242
## [3412,] 16473.51 4223.242
## [3413,] 16483.51 4223.242
## [3414,] 16493.51 4223.242
## [3415,] 16503.51 4223.242
## [3416,] 16513.51 4223.242
## [3417,] 16523.51 4223.242
## [3418,] 16533.51 4223.242
## [3419,] 16543.51 4223.242
## [3420,] 16553.51 4223.242
## [3421,] 16563.51 4223.242
## [3422,] 16573.51 4223.242
## [3423,] 16583.51 4223.242
## [3424,] 16593.51 4223.242
## [3425,] 16603.51 4223.242
## [3426,] 16613.51 4223.242
## [3427,] 16623.51 4223.242
## [3428,] 16633.51 4223.242
## [3429,] 16643.51 4223.242
## [3430,] 16653.51 4223.242
## [3431,] 16663.51 4223.242
## [3432,] 16673.51 4223.242
## [3433,] 16683.51 4223.242
## [3434,] 16693.51 4223.242
## [3435,] 16703.51 4223.242
## [3436,] 16713.51 4223.242
## [3437,] 16723.51 4223.242
## [3438,] 16733.51 4223.242
## [3439,] 16743.51 4223.242
## [3440,] 16753.51 4223.242
## [3441,] 16763.51 4223.242
## [3442,] 16773.51 4223.242
## [3443,] 16783.51 4223.242
## [3444,] 16793.51 4223.242
## [3445,] 16803.51 4223.242
## [3446,] 16813.51 4223.242
## [3447,] 16823.51 4223.242
## [3448,] 16833.51 4223.242
## [3449,] 16843.51 4223.242
## [3450,] 16853.51 4223.242
## [3451,] 16863.51 4223.242
## [3452,] 16873.51 4223.242
## [3453,] 16883.51 4223.242
## [3454,] 16893.51 4223.242
## [3455,] 16903.51 4223.242
## [3456,] 16913.51 4223.242
## [3457,] 16923.51 4223.242
## [3458,] 16933.51 4223.242
## [3459,] 16943.51 4223.242
## [3460,] 16953.51 4223.242
## [3461,] 16963.51 4223.242
## [3462,] 16973.51 4223.242
## [3463,] 16983.51 4223.242
## [3464,] 16993.51 4223.242
## [3465,] 17003.51 4223.242
## [3466,] 17013.51 4223.242
## [3467,] 17023.51 4223.242
## [3468,] 17033.51 4223.242
## [3469,] 17043.51 4223.242
## [3470,] 17053.51 4223.242
## [3471,] 17063.51 4223.242
## [3472,] 17073.51 4223.242
## [3473,] 17083.51 4223.242
## [3474,] 17093.51 4223.242
## [3475,] 17103.51 4223.242
## [3476,] 17113.51 4223.242
## [3477,] 17123.51 4223.242
## [3478,] 17133.51 4223.242
## [3479,] 17143.51 4223.242
## [3480,] 17153.51 4223.242
## [3481,] 17163.51 4223.242
## [3482,] 17173.51 4223.242
## [3483,] 17183.51 4223.242
## [3484,] 17193.51 4223.242
## [3485,] 17203.51 4223.242
## [3486,] 17213.51 4223.242
## [3487,] 17223.51 4223.242
## [3488,] 17233.51 4223.242
## [3489,] 16153.51 4233.242
## [3490,] 16163.51 4233.242
## [3491,] 16173.51 4233.242
## [3492,] 16183.51 4233.242
## [3493,] 16193.51 4233.242
## [3494,] 16203.51 4233.242
## [3495,] 16213.51 4233.242
## [3496,] 16223.51 4233.242
## [3497,] 16233.51 4233.242
## [3498,] 16243.51 4233.242
## [3499,] 16253.51 4233.242
## [3500,] 16263.51 4233.242
## [3501,] 16273.51 4233.242
## [3502,] 16283.51 4233.242
## [3503,] 16293.51 4233.242
## [3504,] 16303.51 4233.242
## [3505,] 16313.51 4233.242
## [3506,] 16323.51 4233.242
## [3507,] 16333.51 4233.242
## [3508,] 16343.51 4233.242
## [3509,] 16353.51 4233.242
## [3510,] 16363.51 4233.242
## [3511,] 16373.51 4233.242
## [3512,] 16383.51 4233.242
## [3513,] 16393.51 4233.242
## [3514,] 16403.51 4233.242
## [3515,] 16413.51 4233.242
## [3516,] 16423.51 4233.242
## [3517,] 16433.51 4233.242
## [3518,] 16443.51 4233.242
## [3519,] 16453.51 4233.242
## [3520,] 16463.51 4233.242
## [3521,] 16473.51 4233.242
## [3522,] 16483.51 4233.242
## [3523,] 16493.51 4233.242
## [3524,] 16503.51 4233.242
## [3525,] 16513.51 4233.242
## [3526,] 16523.51 4233.242
## [3527,] 16533.51 4233.242
## [3528,] 16543.51 4233.242
## [3529,] 16553.51 4233.242
## [3530,] 16563.51 4233.242
## [3531,] 16573.51 4233.242
## [3532,] 16583.51 4233.242
## [3533,] 16593.51 4233.242
## [3534,] 16603.51 4233.242
## [3535,] 16613.51 4233.242
## [3536,] 16623.51 4233.242
## [3537,] 16633.51 4233.242
## [3538,] 16643.51 4233.242
## [3539,] 16653.51 4233.242
## [3540,] 16663.51 4233.242
## [3541,] 16673.51 4233.242
## [3542,] 16683.51 4233.242
## [3543,] 16693.51 4233.242
## [3544,] 16703.51 4233.242
## [3545,] 16713.51 4233.242
## [3546,] 16723.51 4233.242
## [3547,] 16733.51 4233.242
## [3548,] 16743.51 4233.242
## [3549,] 16753.51 4233.242
## [3550,] 16763.51 4233.242
## [3551,] 16773.51 4233.242
## [3552,] 16783.51 4233.242
## [3553,] 16793.51 4233.242
## [3554,] 16803.51 4233.242
## [3555,] 16813.51 4233.242
## [3556,] 16823.51 4233.242
## [3557,] 16833.51 4233.242
## [3558,] 16843.51 4233.242
## [3559,] 16853.51 4233.242
## [3560,] 16863.51 4233.242
## [3561,] 16873.51 4233.242
## [3562,] 16883.51 4233.242
## [3563,] 16893.51 4233.242
## [3564,] 16903.51 4233.242
## [3565,] 16913.51 4233.242
## [3566,] 16923.51 4233.242
## [3567,] 16933.51 4233.242
## [3568,] 16943.51 4233.242
## [3569,] 16953.51 4233.242
## [3570,] 16963.51 4233.242
## [3571,] 16973.51 4233.242
## [3572,] 16983.51 4233.242
## [3573,] 16993.51 4233.242
## [3574,] 17003.51 4233.242
## [3575,] 17013.51 4233.242
## [3576,] 17023.51 4233.242
## [3577,] 17033.51 4233.242
## [3578,] 17043.51 4233.242
## [3579,] 17053.51 4233.242
## [3580,] 17063.51 4233.242
## [3581,] 17073.51 4233.242
## [3582,] 17083.51 4233.242
## [3583,] 17093.51 4233.242
## [3584,] 17103.51 4233.242
## [3585,] 17113.51 4233.242
## [3586,] 17123.51 4233.242
## [3587,] 17133.51 4233.242
## [3588,] 17143.51 4233.242
## [3589,] 17153.51 4233.242
## [3590,] 17163.51 4233.242
## [3591,] 17173.51 4233.242
## [3592,] 17183.51 4233.242
## [3593,] 17193.51 4233.242
## [3594,] 17203.51 4233.242
## [3595,] 17213.51 4233.242
## [3596,] 17223.51 4233.242
## [3597,] 17233.51 4233.242
## [3598,] 16153.51 4243.242
## [3599,] 16163.51 4243.242
## [3600,] 16173.51 4243.242
## [3601,] 16183.51 4243.242
## [3602,] 16193.51 4243.242
## [3603,] 16203.51 4243.242
## [3604,] 16213.51 4243.242
## [3605,] 16223.51 4243.242
## [3606,] 16233.51 4243.242
## [3607,] 16243.51 4243.242
## [3608,] 16253.51 4243.242
## [3609,] 16263.51 4243.242
## [3610,] 16273.51 4243.242
## [3611,] 16283.51 4243.242
## [3612,] 16293.51 4243.242
## [3613,] 16303.51 4243.242
## [3614,] 16313.51 4243.242
## [3615,] 16323.51 4243.242
## [3616,] 16333.51 4243.242
## [3617,] 16343.51 4243.242
## [3618,] 16353.51 4243.242
## [3619,] 16363.51 4243.242
## [3620,] 16373.51 4243.242
## [3621,] 16383.51 4243.242
## [3622,] 16393.51 4243.242
## [3623,] 16403.51 4243.242
## [3624,] 16413.51 4243.242
## [3625,] 16423.51 4243.242
## [3626,] 16433.51 4243.242
## [3627,] 16443.51 4243.242
## [3628,] 16453.51 4243.242
## [3629,] 16463.51 4243.242
## [3630,] 16473.51 4243.242
## [3631,] 16483.51 4243.242
## [3632,] 16493.51 4243.242
## [3633,] 16503.51 4243.242
## [3634,] 16513.51 4243.242
## [3635,] 16523.51 4243.242
## [3636,] 16533.51 4243.242
## [3637,] 16543.51 4243.242
## [3638,] 16553.51 4243.242
## [3639,] 16563.51 4243.242
## [3640,] 16573.51 4243.242
## [3641,] 16583.51 4243.242
## [3642,] 16593.51 4243.242
## [3643,] 16603.51 4243.242
## [3644,] 16613.51 4243.242
## [3645,] 16623.51 4243.242
## [3646,] 16633.51 4243.242
## [3647,] 16643.51 4243.242
## [3648,] 16653.51 4243.242
## [3649,] 16663.51 4243.242
## [3650,] 16673.51 4243.242
## [3651,] 16683.51 4243.242
## [3652,] 16693.51 4243.242
## [3653,] 16703.51 4243.242
## [3654,] 16713.51 4243.242
## [3655,] 16723.51 4243.242
## [3656,] 16733.51 4243.242
## [3657,] 16743.51 4243.242
## [3658,] 16753.51 4243.242
## [3659,] 16763.51 4243.242
## [3660,] 16773.51 4243.242
## [3661,] 16783.51 4243.242
## [3662,] 16793.51 4243.242
## [3663,] 16803.51 4243.242
## [3664,] 16813.51 4243.242
## [3665,] 16823.51 4243.242
## [3666,] 16833.51 4243.242
## [3667,] 16843.51 4243.242
## [3668,] 16853.51 4243.242
## [3669,] 16863.51 4243.242
## [3670,] 16873.51 4243.242
## [3671,] 16883.51 4243.242
## [3672,] 16893.51 4243.242
## [3673,] 16903.51 4243.242
## [3674,] 16913.51 4243.242
## [3675,] 16923.51 4243.242
## [3676,] 16933.51 4243.242
## [3677,] 16943.51 4243.242
## [3678,] 16953.51 4243.242
## [3679,] 16963.51 4243.242
## [3680,] 16973.51 4243.242
## [3681,] 16983.51 4243.242
## [3682,] 16993.51 4243.242
## [3683,] 17003.51 4243.242
## [3684,] 17013.51 4243.242
## [3685,] 17023.51 4243.242
## [3686,] 17033.51 4243.242
## [3687,] 17043.51 4243.242
## [3688,] 17053.51 4243.242
## [3689,] 17063.51 4243.242
## [3690,] 17073.51 4243.242
## [3691,] 17083.51 4243.242
## [3692,] 17093.51 4243.242
## [3693,] 17103.51 4243.242
## [3694,] 17113.51 4243.242
## [3695,] 17123.51 4243.242
## [3696,] 17133.51 4243.242
## [3697,] 17143.51 4243.242
## [3698,] 17153.51 4243.242
## [3699,] 17163.51 4243.242
## [3700,] 17173.51 4243.242
## [3701,] 17183.51 4243.242
## [3702,] 17193.51 4243.242
## [3703,] 17203.51 4243.242
## [3704,] 17213.51 4243.242
## [3705,] 17223.51 4243.242
## [3706,] 17233.51 4243.242
## [3707,] 16153.51 4253.242
## [3708,] 16163.51 4253.242
## [3709,] 16173.51 4253.242
## [3710,] 16183.51 4253.242
## [3711,] 16193.51 4253.242
## [3712,] 16203.51 4253.242
## [3713,] 16213.51 4253.242
## [3714,] 16223.51 4253.242
## [3715,] 16233.51 4253.242
## [3716,] 16243.51 4253.242
## [3717,] 16253.51 4253.242
## [3718,] 16263.51 4253.242
## [3719,] 16273.51 4253.242
## [3720,] 16283.51 4253.242
## [3721,] 16293.51 4253.242
## [3722,] 16303.51 4253.242
## [3723,] 16313.51 4253.242
## [3724,] 16323.51 4253.242
## [3725,] 16333.51 4253.242
## [3726,] 16343.51 4253.242
## [3727,] 16353.51 4253.242
## [3728,] 16363.51 4253.242
## [3729,] 16373.51 4253.242
## [3730,] 16383.51 4253.242
## [3731,] 16393.51 4253.242
## [3732,] 16403.51 4253.242
## [3733,] 16413.51 4253.242
## [3734,] 16423.51 4253.242
## [3735,] 16433.51 4253.242
## [3736,] 16443.51 4253.242
## [3737,] 16453.51 4253.242
## [3738,] 16463.51 4253.242
## [3739,] 16473.51 4253.242
## [3740,] 16483.51 4253.242
## [3741,] 16493.51 4253.242
## [3742,] 16503.51 4253.242
## [3743,] 16513.51 4253.242
## [3744,] 16523.51 4253.242
## [3745,] 16533.51 4253.242
## [3746,] 16543.51 4253.242
## [3747,] 16553.51 4253.242
## [3748,] 16563.51 4253.242
## [3749,] 16573.51 4253.242
## [3750,] 16583.51 4253.242
## [3751,] 16593.51 4253.242
## [3752,] 16603.51 4253.242
## [3753,] 16613.51 4253.242
## [3754,] 16623.51 4253.242
## [3755,] 16633.51 4253.242
## [3756,] 16643.51 4253.242
## [3757,] 16653.51 4253.242
## [3758,] 16663.51 4253.242
## [3759,] 16673.51 4253.242
## [3760,] 16683.51 4253.242
## [3761,] 16693.51 4253.242
## [3762,] 16703.51 4253.242
## [3763,] 16713.51 4253.242
## [3764,] 16723.51 4253.242
## [3765,] 16733.51 4253.242
## [3766,] 16743.51 4253.242
## [3767,] 16753.51 4253.242
## [3768,] 16763.51 4253.242
## [3769,] 16773.51 4253.242
## [3770,] 16783.51 4253.242
## [3771,] 16793.51 4253.242
## [3772,] 16803.51 4253.242
## [3773,] 16813.51 4253.242
## [3774,] 16823.51 4253.242
## [3775,] 16833.51 4253.242
## [3776,] 16843.51 4253.242
## [3777,] 16853.51 4253.242
## [3778,] 16863.51 4253.242
## [3779,] 16873.51 4253.242
## [3780,] 16883.51 4253.242
## [3781,] 16893.51 4253.242
## [3782,] 16903.51 4253.242
## [3783,] 16913.51 4253.242
## [3784,] 16923.51 4253.242
## [3785,] 16933.51 4253.242
## [3786,] 16943.51 4253.242
## [3787,] 16953.51 4253.242
## [3788,] 16963.51 4253.242
## [3789,] 16973.51 4253.242
## [3790,] 16983.51 4253.242
## [3791,] 16993.51 4253.242
## [3792,] 17003.51 4253.242
## [3793,] 17013.51 4253.242
## [3794,] 17023.51 4253.242
## [3795,] 17033.51 4253.242
## [3796,] 17043.51 4253.242
## [3797,] 17053.51 4253.242
## [3798,] 17063.51 4253.242
## [3799,] 17073.51 4253.242
## [3800,] 17083.51 4253.242
## [3801,] 17093.51 4253.242
## [3802,] 17103.51 4253.242
## [3803,] 17113.51 4253.242
## [3804,] 17123.51 4253.242
## [3805,] 17133.51 4253.242
## [3806,] 17143.51 4253.242
## [3807,] 17153.51 4253.242
## [3808,] 17163.51 4253.242
## [3809,] 17173.51 4253.242
## [3810,] 17183.51 4253.242
## [3811,] 17193.51 4253.242
## [3812,] 17203.51 4253.242
## [3813,] 17213.51 4253.242
## [3814,] 17223.51 4253.242
## [3815,] 17233.51 4253.242
## [3816,] 16153.51 4263.242
## [3817,] 16163.51 4263.242
## [3818,] 16173.51 4263.242
## [3819,] 16183.51 4263.242
## [3820,] 16193.51 4263.242
## [3821,] 16203.51 4263.242
## [3822,] 16213.51 4263.242
## [3823,] 16223.51 4263.242
## [3824,] 16233.51 4263.242
## [3825,] 16243.51 4263.242
## [3826,] 16253.51 4263.242
## [3827,] 16263.51 4263.242
## [3828,] 16273.51 4263.242
## [3829,] 16283.51 4263.242
## [3830,] 16293.51 4263.242
## [3831,] 16303.51 4263.242
## [3832,] 16313.51 4263.242
## [3833,] 16323.51 4263.242
## [3834,] 16333.51 4263.242
## [3835,] 16343.51 4263.242
## [3836,] 16353.51 4263.242
## [3837,] 16363.51 4263.242
## [3838,] 16373.51 4263.242
## [3839,] 16383.51 4263.242
## [3840,] 16393.51 4263.242
## [3841,] 16403.51 4263.242
## [3842,] 16413.51 4263.242
## [3843,] 16423.51 4263.242
## [3844,] 16433.51 4263.242
## [3845,] 16443.51 4263.242
## [3846,] 16453.51 4263.242
## [3847,] 16463.51 4263.242
## [3848,] 16473.51 4263.242
## [3849,] 16483.51 4263.242
## [3850,] 16493.51 4263.242
## [3851,] 16503.51 4263.242
## [3852,] 16513.51 4263.242
## [3853,] 16523.51 4263.242
## [3854,] 16533.51 4263.242
## [3855,] 16543.51 4263.242
## [3856,] 16553.51 4263.242
## [3857,] 16563.51 4263.242
## [3858,] 16573.51 4263.242
## [3859,] 16583.51 4263.242
## [3860,] 16593.51 4263.242
## [3861,] 16603.51 4263.242
## [3862,] 16613.51 4263.242
## [3863,] 16623.51 4263.242
## [3864,] 16633.51 4263.242
## [3865,] 16643.51 4263.242
## [3866,] 16653.51 4263.242
## [3867,] 16663.51 4263.242
## [3868,] 16673.51 4263.242
## [3869,] 16683.51 4263.242
## [3870,] 16693.51 4263.242
## [3871,] 16703.51 4263.242
## [3872,] 16713.51 4263.242
## [3873,] 16723.51 4263.242
## [3874,] 16733.51 4263.242
## [3875,] 16743.51 4263.242
## [3876,] 16753.51 4263.242
## [3877,] 16763.51 4263.242
## [3878,] 16773.51 4263.242
## [3879,] 16783.51 4263.242
## [3880,] 16793.51 4263.242
## [3881,] 16803.51 4263.242
## [3882,] 16813.51 4263.242
## [3883,] 16823.51 4263.242
## [3884,] 16833.51 4263.242
## [3885,] 16843.51 4263.242
## [3886,] 16853.51 4263.242
## [3887,] 16863.51 4263.242
## [3888,] 16873.51 4263.242
## [3889,] 16883.51 4263.242
## [3890,] 16893.51 4263.242
## [3891,] 16903.51 4263.242
## [3892,] 16913.51 4263.242
## [3893,] 16923.51 4263.242
## [3894,] 16933.51 4263.242
## [3895,] 16943.51 4263.242
## [3896,] 16953.51 4263.242
## [3897,] 16963.51 4263.242
## [3898,] 16973.51 4263.242
## [3899,] 16983.51 4263.242
## [3900,] 16993.51 4263.242
## [3901,] 17003.51 4263.242
## [3902,] 17013.51 4263.242
## [3903,] 17023.51 4263.242
## [3904,] 17033.51 4263.242
## [3905,] 17043.51 4263.242
## [3906,] 17053.51 4263.242
## [3907,] 17063.51 4263.242
## [3908,] 17073.51 4263.242
## [3909,] 17083.51 4263.242
## [3910,] 17093.51 4263.242
## [3911,] 17103.51 4263.242
## [3912,] 17113.51 4263.242
## [3913,] 17123.51 4263.242
## [3914,] 17133.51 4263.242
## [3915,] 17143.51 4263.242
## [3916,] 17153.51 4263.242
## [3917,] 17163.51 4263.242
## [3918,] 17173.51 4263.242
## [3919,] 17183.51 4263.242
## [3920,] 17193.51 4263.242
## [3921,] 17203.51 4263.242
## [3922,] 17213.51 4263.242
## [3923,] 17223.51 4263.242
## [3924,] 17233.51 4263.242
## [3925,] 16153.51 4273.242
## [3926,] 16163.51 4273.242
## [3927,] 16173.51 4273.242
## [3928,] 16183.51 4273.242
## [3929,] 16193.51 4273.242
## [3930,] 16203.51 4273.242
## [3931,] 16213.51 4273.242
## [3932,] 16223.51 4273.242
## [3933,] 16233.51 4273.242
## [3934,] 16243.51 4273.242
## [3935,] 16253.51 4273.242
## [3936,] 16263.51 4273.242
## [3937,] 16273.51 4273.242
## [3938,] 16283.51 4273.242
## [3939,] 16293.51 4273.242
## [3940,] 16303.51 4273.242
## [3941,] 16313.51 4273.242
## [3942,] 16323.51 4273.242
## [3943,] 16333.51 4273.242
## [3944,] 16343.51 4273.242
## [3945,] 16353.51 4273.242
## [3946,] 16363.51 4273.242
## [3947,] 16373.51 4273.242
## [3948,] 16383.51 4273.242
## [3949,] 16393.51 4273.242
## [3950,] 16403.51 4273.242
## [3951,] 16413.51 4273.242
## [3952,] 16423.51 4273.242
## [3953,] 16433.51 4273.242
## [3954,] 16443.51 4273.242
## [3955,] 16453.51 4273.242
## [3956,] 16463.51 4273.242
## [3957,] 16473.51 4273.242
## [3958,] 16483.51 4273.242
## [3959,] 16493.51 4273.242
## [3960,] 16503.51 4273.242
## [3961,] 16513.51 4273.242
## [3962,] 16523.51 4273.242
## [3963,] 16533.51 4273.242
## [3964,] 16543.51 4273.242
## [3965,] 16553.51 4273.242
## [3966,] 16563.51 4273.242
## [3967,] 16573.51 4273.242
## [3968,] 16583.51 4273.242
## [3969,] 16593.51 4273.242
## [3970,] 16603.51 4273.242
## [3971,] 16613.51 4273.242
## [3972,] 16623.51 4273.242
## [3973,] 16633.51 4273.242
## [3974,] 16643.51 4273.242
## [3975,] 16653.51 4273.242
## [3976,] 16663.51 4273.242
## [3977,] 16673.51 4273.242
## [3978,] 16683.51 4273.242
## [3979,] 16693.51 4273.242
## [3980,] 16703.51 4273.242
## [3981,] 16713.51 4273.242
## [3982,] 16723.51 4273.242
## [3983,] 16733.51 4273.242
## [3984,] 16743.51 4273.242
## [3985,] 16753.51 4273.242
## [3986,] 16763.51 4273.242
## [3987,] 16773.51 4273.242
## [3988,] 16783.51 4273.242
## [3989,] 16793.51 4273.242
## [3990,] 16803.51 4273.242
## [3991,] 16813.51 4273.242
## [3992,] 16823.51 4273.242
## [3993,] 16833.51 4273.242
## [3994,] 16843.51 4273.242
## [3995,] 16853.51 4273.242
## [3996,] 16863.51 4273.242
## [3997,] 16873.51 4273.242
## [3998,] 16883.51 4273.242
## [3999,] 16893.51 4273.242
## [4000,] 16903.51 4273.242
## [4001,] 16913.51 4273.242
## [4002,] 16923.51 4273.242
## [4003,] 16933.51 4273.242
## [4004,] 16943.51 4273.242
## [4005,] 16953.51 4273.242
## [4006,] 16963.51 4273.242
## [4007,] 16973.51 4273.242
## [4008,] 16983.51 4273.242
## [4009,] 16993.51 4273.242
## [4010,] 17003.51 4273.242
## [4011,] 17013.51 4273.242
## [4012,] 17023.51 4273.242
## [4013,] 17033.51 4273.242
## [4014,] 17043.51 4273.242
## [4015,] 17053.51 4273.242
## [4016,] 17063.51 4273.242
## [4017,] 17073.51 4273.242
## [4018,] 17083.51 4273.242
## [4019,] 17093.51 4273.242
## [4020,] 17103.51 4273.242
## [4021,] 17113.51 4273.242
## [4022,] 17123.51 4273.242
## [4023,] 17133.51 4273.242
## [4024,] 17143.51 4273.242
## [4025,] 17153.51 4273.242
## [4026,] 17163.51 4273.242
## [4027,] 17173.51 4273.242
## [4028,] 17183.51 4273.242
## [4029,] 17193.51 4273.242
## [4030,] 17203.51 4273.242
## [4031,] 17213.51 4273.242
## [4032,] 17223.51 4273.242
## [4033,] 17233.51 4273.242
## [4034,] 16153.51 4283.242
## [4035,] 16163.51 4283.242
## [4036,] 16173.51 4283.242
## [4037,] 16183.51 4283.242
## [4038,] 16193.51 4283.242
## [4039,] 16203.51 4283.242
## [4040,] 16213.51 4283.242
## [4041,] 16223.51 4283.242
## [4042,] 16233.51 4283.242
## [4043,] 16243.51 4283.242
## [4044,] 16253.51 4283.242
## [4045,] 16263.51 4283.242
## [4046,] 16273.51 4283.242
## [4047,] 16283.51 4283.242
## [4048,] 16293.51 4283.242
## [4049,] 16303.51 4283.242
## [4050,] 16313.51 4283.242
## [4051,] 16323.51 4283.242
## [4052,] 16333.51 4283.242
## [4053,] 16343.51 4283.242
## [4054,] 16353.51 4283.242
## [4055,] 16363.51 4283.242
## [4056,] 16373.51 4283.242
## [4057,] 16383.51 4283.242
## [4058,] 16393.51 4283.242
## [4059,] 16403.51 4283.242
## [4060,] 16413.51 4283.242
## [4061,] 16423.51 4283.242
## [4062,] 16433.51 4283.242
## [4063,] 16443.51 4283.242
## [4064,] 16453.51 4283.242
## [4065,] 16463.51 4283.242
## [4066,] 16473.51 4283.242
## [4067,] 16483.51 4283.242
## [4068,] 16493.51 4283.242
## [4069,] 16503.51 4283.242
## [4070,] 16513.51 4283.242
## [4071,] 16523.51 4283.242
## [4072,] 16533.51 4283.242
## [4073,] 16543.51 4283.242
## [4074,] 16553.51 4283.242
## [4075,] 16563.51 4283.242
## [4076,] 16573.51 4283.242
## [4077,] 16583.51 4283.242
## [4078,] 16593.51 4283.242
## [4079,] 16603.51 4283.242
## [4080,] 16613.51 4283.242
## [4081,] 16623.51 4283.242
## [4082,] 16633.51 4283.242
## [4083,] 16643.51 4283.242
## [4084,] 16653.51 4283.242
## [4085,] 16663.51 4283.242
## [4086,] 16673.51 4283.242
## [4087,] 16683.51 4283.242
## [4088,] 16693.51 4283.242
## [4089,] 16703.51 4283.242
## [4090,] 16713.51 4283.242
## [4091,] 16723.51 4283.242
## [4092,] 16733.51 4283.242
## [4093,] 16743.51 4283.242
## [4094,] 16753.51 4283.242
## [4095,] 16763.51 4283.242
## [4096,] 16773.51 4283.242
## [4097,] 16783.51 4283.242
## [4098,] 16793.51 4283.242
## [4099,] 16803.51 4283.242
## [4100,] 16813.51 4283.242
## [4101,] 16823.51 4283.242
## [4102,] 16833.51 4283.242
## [4103,] 16843.51 4283.242
## [4104,] 16853.51 4283.242
## [4105,] 16863.51 4283.242
## [4106,] 16873.51 4283.242
## [4107,] 16883.51 4283.242
## [4108,] 16893.51 4283.242
## [4109,] 16903.51 4283.242
## [4110,] 16913.51 4283.242
## [4111,] 16923.51 4283.242
## [4112,] 16933.51 4283.242
## [4113,] 16943.51 4283.242
## [4114,] 16953.51 4283.242
## [4115,] 16963.51 4283.242
## [4116,] 16973.51 4283.242
## [4117,] 16983.51 4283.242
## [4118,] 16993.51 4283.242
## [4119,] 17003.51 4283.242
## [4120,] 17013.51 4283.242
## [4121,] 17023.51 4283.242
## [4122,] 17033.51 4283.242
## [4123,] 17043.51 4283.242
## [4124,] 17053.51 4283.242
## [4125,] 17063.51 4283.242
## [4126,] 17073.51 4283.242
## [4127,] 17083.51 4283.242
## [4128,] 17093.51 4283.242
## [4129,] 17103.51 4283.242
## [4130,] 17113.51 4283.242
## [4131,] 17123.51 4283.242
## [4132,] 17133.51 4283.242
## [4133,] 17143.51 4283.242
## [4134,] 17153.51 4283.242
## [4135,] 17163.51 4283.242
## [4136,] 17173.51 4283.242
## [4137,] 17183.51 4283.242
## [4138,] 17193.51 4283.242
## [4139,] 17203.51 4283.242
## [4140,] 17213.51 4283.242
## [4141,] 17223.51 4283.242
## [4142,] 17233.51 4283.242
## [4143,] 16153.51 4293.242
## [4144,] 16163.51 4293.242
## [4145,] 16173.51 4293.242
## [4146,] 16183.51 4293.242
## [4147,] 16193.51 4293.242
## [4148,] 16203.51 4293.242
## [4149,] 16213.51 4293.242
## [4150,] 16223.51 4293.242
## [4151,] 16233.51 4293.242
## [4152,] 16243.51 4293.242
## [4153,] 16253.51 4293.242
## [4154,] 16263.51 4293.242
## [4155,] 16273.51 4293.242
## [4156,] 16283.51 4293.242
## [4157,] 16293.51 4293.242
## [4158,] 16303.51 4293.242
## [4159,] 16313.51 4293.242
## [4160,] 16323.51 4293.242
## [4161,] 16333.51 4293.242
## [4162,] 16343.51 4293.242
## [4163,] 16353.51 4293.242
## [4164,] 16363.51 4293.242
## [4165,] 16373.51 4293.242
## [4166,] 16383.51 4293.242
## [4167,] 16393.51 4293.242
## [4168,] 16403.51 4293.242
## [4169,] 16413.51 4293.242
## [4170,] 16423.51 4293.242
## [4171,] 16433.51 4293.242
## [4172,] 16443.51 4293.242
## [4173,] 16453.51 4293.242
## [4174,] 16463.51 4293.242
## [4175,] 16473.51 4293.242
## [4176,] 16483.51 4293.242
## [4177,] 16493.51 4293.242
## [4178,] 16503.51 4293.242
## [4179,] 16513.51 4293.242
## [4180,] 16523.51 4293.242
## [4181,] 16533.51 4293.242
## [4182,] 16543.51 4293.242
## [4183,] 16553.51 4293.242
## [4184,] 16563.51 4293.242
## [4185,] 16573.51 4293.242
## [4186,] 16583.51 4293.242
## [4187,] 16593.51 4293.242
## [4188,] 16603.51 4293.242
## [4189,] 16613.51 4293.242
## [4190,] 16623.51 4293.242
## [4191,] 16633.51 4293.242
## [4192,] 16643.51 4293.242
## [4193,] 16653.51 4293.242
## [4194,] 16663.51 4293.242
## [4195,] 16673.51 4293.242
## [4196,] 16683.51 4293.242
## [4197,] 16693.51 4293.242
## [4198,] 16703.51 4293.242
## [4199,] 16713.51 4293.242
## [4200,] 16723.51 4293.242
## [4201,] 16733.51 4293.242
## [4202,] 16743.51 4293.242
## [4203,] 16753.51 4293.242
## [4204,] 16763.51 4293.242
## [4205,] 16773.51 4293.242
## [4206,] 16783.51 4293.242
## [4207,] 16793.51 4293.242
## [4208,] 16803.51 4293.242
## [4209,] 16813.51 4293.242
## [4210,] 16823.51 4293.242
## [4211,] 16833.51 4293.242
## [4212,] 16843.51 4293.242
## [4213,] 16853.51 4293.242
## [4214,] 16863.51 4293.242
## [4215,] 16873.51 4293.242
## [4216,] 16883.51 4293.242
## [4217,] 16893.51 4293.242
## [4218,] 16903.51 4293.242
## [4219,] 16913.51 4293.242
## [4220,] 16923.51 4293.242
## [4221,] 16933.51 4293.242
## [4222,] 16943.51 4293.242
## [4223,] 16953.51 4293.242
## [4224,] 16963.51 4293.242
## [4225,] 16973.51 4293.242
## [4226,] 16983.51 4293.242
## [4227,] 16993.51 4293.242
## [4228,] 17003.51 4293.242
## [4229,] 17013.51 4293.242
## [4230,] 17023.51 4293.242
## [4231,] 17033.51 4293.242
## [4232,] 17043.51 4293.242
## [4233,] 17053.51 4293.242
## [4234,] 17063.51 4293.242
## [4235,] 17073.51 4293.242
## [4236,] 17083.51 4293.242
## [4237,] 17093.51 4293.242
## [4238,] 17103.51 4293.242
## [4239,] 17113.51 4293.242
## [4240,] 17123.51 4293.242
## [4241,] 17133.51 4293.242
## [4242,] 17143.51 4293.242
## [4243,] 17153.51 4293.242
## [4244,] 17163.51 4293.242
## [4245,] 17173.51 4293.242
## [4246,] 17183.51 4293.242
## [4247,] 17193.51 4293.242
## [4248,] 17203.51 4293.242
## [4249,] 17213.51 4293.242
## [4250,] 17223.51 4293.242
## [4251,] 17233.51 4293.242
## [4252,] 16153.51 4303.242
## [4253,] 16163.51 4303.242
## [4254,] 16173.51 4303.242
## [4255,] 16183.51 4303.242
## [4256,] 16193.51 4303.242
## [4257,] 16203.51 4303.242
## [4258,] 16213.51 4303.242
## [4259,] 16223.51 4303.242
## [4260,] 16233.51 4303.242
## [4261,] 16243.51 4303.242
## [4262,] 16253.51 4303.242
## [4263,] 16263.51 4303.242
## [4264,] 16273.51 4303.242
## [4265,] 16283.51 4303.242
## [4266,] 16293.51 4303.242
## [4267,] 16303.51 4303.242
## [4268,] 16313.51 4303.242
## [4269,] 16323.51 4303.242
## [4270,] 16333.51 4303.242
## [4271,] 16343.51 4303.242
## [4272,] 16353.51 4303.242
## [4273,] 16363.51 4303.242
## [4274,] 16373.51 4303.242
## [4275,] 16383.51 4303.242
## [4276,] 16393.51 4303.242
## [4277,] 16403.51 4303.242
## [4278,] 16413.51 4303.242
## [4279,] 16423.51 4303.242
## [4280,] 16433.51 4303.242
## [4281,] 16443.51 4303.242
## [4282,] 16453.51 4303.242
## [4283,] 16463.51 4303.242
## [4284,] 16473.51 4303.242
## [4285,] 16483.51 4303.242
## [4286,] 16493.51 4303.242
## [4287,] 16503.51 4303.242
## [4288,] 16513.51 4303.242
## [4289,] 16523.51 4303.242
## [4290,] 16533.51 4303.242
## [4291,] 16543.51 4303.242
## [4292,] 16553.51 4303.242
## [4293,] 16563.51 4303.242
## [4294,] 16573.51 4303.242
## [4295,] 16583.51 4303.242
## [4296,] 16593.51 4303.242
## [4297,] 16603.51 4303.242
## [4298,] 16613.51 4303.242
## [4299,] 16623.51 4303.242
## [4300,] 16633.51 4303.242
## [4301,] 16643.51 4303.242
## [4302,] 16653.51 4303.242
## [4303,] 16663.51 4303.242
## [4304,] 16673.51 4303.242
## [4305,] 16683.51 4303.242
## [4306,] 16693.51 4303.242
## [4307,] 16703.51 4303.242
## [4308,] 16713.51 4303.242
## [4309,] 16723.51 4303.242
## [4310,] 16733.51 4303.242
## [4311,] 16743.51 4303.242
## [4312,] 16753.51 4303.242
## [4313,] 16763.51 4303.242
## [4314,] 16773.51 4303.242
## [4315,] 16783.51 4303.242
## [4316,] 16793.51 4303.242
## [4317,] 16803.51 4303.242
## [4318,] 16813.51 4303.242
## [4319,] 16823.51 4303.242
## [4320,] 16833.51 4303.242
## [4321,] 16843.51 4303.242
## [4322,] 16853.51 4303.242
## [4323,] 16863.51 4303.242
## [4324,] 16873.51 4303.242
## [4325,] 16883.51 4303.242
## [4326,] 16893.51 4303.242
## [4327,] 16903.51 4303.242
## [4328,] 16913.51 4303.242
## [4329,] 16923.51 4303.242
## [4330,] 16933.51 4303.242
## [4331,] 16943.51 4303.242
## [4332,] 16953.51 4303.242
## [4333,] 16963.51 4303.242
## [4334,] 16973.51 4303.242
## [4335,] 16983.51 4303.242
## [4336,] 16993.51 4303.242
## [4337,] 17003.51 4303.242
## [4338,] 17013.51 4303.242
## [4339,] 17023.51 4303.242
## [4340,] 17033.51 4303.242
## [4341,] 17043.51 4303.242
## [4342,] 17053.51 4303.242
## [4343,] 17063.51 4303.242
## [4344,] 17073.51 4303.242
## [4345,] 17083.51 4303.242
## [4346,] 17093.51 4303.242
## [4347,] 17103.51 4303.242
## [4348,] 17113.51 4303.242
## [4349,] 17123.51 4303.242
## [4350,] 17133.51 4303.242
## [4351,] 17143.51 4303.242
## [4352,] 17153.51 4303.242
## [4353,] 17163.51 4303.242
## [4354,] 17173.51 4303.242
## [4355,] 17183.51 4303.242
## [4356,] 17193.51 4303.242
## [4357,] 17203.51 4303.242
## [4358,] 17213.51 4303.242
## [4359,] 17223.51 4303.242
## [4360,] 17233.51 4303.242
## [4361,] 16153.51 4313.242
## [4362,] 16163.51 4313.242
## [4363,] 16173.51 4313.242
## [4364,] 16183.51 4313.242
## [4365,] 16193.51 4313.242
## [4366,] 16203.51 4313.242
## [4367,] 16213.51 4313.242
## [4368,] 16223.51 4313.242
## [4369,] 16233.51 4313.242
## [4370,] 16243.51 4313.242
## [4371,] 16253.51 4313.242
## [4372,] 16263.51 4313.242
## [4373,] 16273.51 4313.242
## [4374,] 16283.51 4313.242
## [4375,] 16293.51 4313.242
## [4376,] 16303.51 4313.242
## [4377,] 16313.51 4313.242
## [4378,] 16323.51 4313.242
## [4379,] 16333.51 4313.242
## [4380,] 16343.51 4313.242
## [4381,] 16353.51 4313.242
## [4382,] 16363.51 4313.242
## [4383,] 16373.51 4313.242
## [4384,] 16383.51 4313.242
## [4385,] 16393.51 4313.242
## [4386,] 16403.51 4313.242
## [4387,] 16413.51 4313.242
## [4388,] 16423.51 4313.242
## [4389,] 16433.51 4313.242
## [4390,] 16443.51 4313.242
## [4391,] 16453.51 4313.242
## [4392,] 16463.51 4313.242
## [4393,] 16473.51 4313.242
## [4394,] 16483.51 4313.242
## [4395,] 16493.51 4313.242
## [4396,] 16503.51 4313.242
## [4397,] 16513.51 4313.242
## [4398,] 16523.51 4313.242
## [4399,] 16533.51 4313.242
## [4400,] 16543.51 4313.242
## [4401,] 16553.51 4313.242
## [4402,] 16563.51 4313.242
## [4403,] 16573.51 4313.242
## [4404,] 16583.51 4313.242
## [4405,] 16593.51 4313.242
## [4406,] 16603.51 4313.242
## [4407,] 16613.51 4313.242
## [4408,] 16623.51 4313.242
## [4409,] 16633.51 4313.242
## [4410,] 16643.51 4313.242
## [4411,] 16653.51 4313.242
## [4412,] 16663.51 4313.242
## [4413,] 16673.51 4313.242
## [4414,] 16683.51 4313.242
## [4415,] 16693.51 4313.242
## [4416,] 16703.51 4313.242
## [4417,] 16713.51 4313.242
## [4418,] 16723.51 4313.242
## [4419,] 16733.51 4313.242
## [4420,] 16743.51 4313.242
## [4421,] 16753.51 4313.242
## [4422,] 16763.51 4313.242
## [4423,] 16773.51 4313.242
## [4424,] 16783.51 4313.242
## [4425,] 16793.51 4313.242
## [4426,] 16803.51 4313.242
## [4427,] 16813.51 4313.242
## [4428,] 16823.51 4313.242
## [4429,] 16833.51 4313.242
## [4430,] 16843.51 4313.242
## [4431,] 16853.51 4313.242
## [4432,] 16863.51 4313.242
## [4433,] 16873.51 4313.242
## [4434,] 16883.51 4313.242
## [4435,] 16893.51 4313.242
## [4436,] 16903.51 4313.242
## [4437,] 16913.51 4313.242
## [4438,] 16923.51 4313.242
## [4439,] 16933.51 4313.242
## [4440,] 16943.51 4313.242
## [4441,] 16953.51 4313.242
## [4442,] 16963.51 4313.242
## [4443,] 16973.51 4313.242
## [4444,] 16983.51 4313.242
## [4445,] 16993.51 4313.242
## [4446,] 17003.51 4313.242
## [4447,] 17013.51 4313.242
## [4448,] 17023.51 4313.242
## [4449,] 17033.51 4313.242
## [4450,] 17043.51 4313.242
## [4451,] 17053.51 4313.242
## [4452,] 17063.51 4313.242
## [4453,] 17073.51 4313.242
## [4454,] 17083.51 4313.242
## [4455,] 17093.51 4313.242
## [4456,] 17103.51 4313.242
## [4457,] 17113.51 4313.242
## [4458,] 17123.51 4313.242
## [4459,] 17133.51 4313.242
## [4460,] 17143.51 4313.242
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## [4488,] 16333.51 4323.242
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## [4490,] 16353.51 4323.242
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## [4492,] 16373.51 4323.242
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## [4494,] 16393.51 4323.242
## [4495,] 16403.51 4323.242
## [4496,] 16413.51 4323.242
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## [4501,] 16463.51 4323.242
## [4502,] 16473.51 4323.242
## [4503,] 16483.51 4323.242
## [4504,] 16493.51 4323.242
## [4505,] 16503.51 4323.242
## [4506,] 16513.51 4323.242
## [4507,] 16523.51 4323.242
## [4508,] 16533.51 4323.242
## [4509,] 16543.51 4323.242
## [4510,] 16553.51 4323.242
## [4511,] 16563.51 4323.242
## [4512,] 16573.51 4323.242
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## [4515,] 16603.51 4323.242
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## [4517,] 16623.51 4323.242
## [4518,] 16633.51 4323.242
## [4519,] 16643.51 4323.242
## [4520,] 16653.51 4323.242
## [4521,] 16663.51 4323.242
## [4522,] 16673.51 4323.242
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## [4525,] 16703.51 4323.242
## [4526,] 16713.51 4323.242
## [4527,] 16723.51 4323.242
## [4528,] 16733.51 4323.242
## [4529,] 16743.51 4323.242
## [4530,] 16753.51 4323.242
## [4531,] 16763.51 4323.242
## [4532,] 16773.51 4323.242
## [4533,] 16783.51 4323.242
## [4534,] 16793.51 4323.242
## [4535,] 16803.51 4323.242
## [4536,] 16813.51 4323.242
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## [4538,] 16833.51 4323.242
## [4539,] 16843.51 4323.242
## [4540,] 16853.51 4323.242
## [4541,] 16863.51 4323.242
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## [4544,] 16893.51 4323.242
## [4545,] 16903.51 4323.242
## [4546,] 16913.51 4323.242
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## [4548,] 16933.51 4323.242
## [4549,] 16943.51 4323.242
## [4550,] 16953.51 4323.242
## [4551,] 16963.51 4323.242
## [4552,] 16973.51 4323.242
## [4553,] 16983.51 4323.242
## [4554,] 16993.51 4323.242
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## [4560,] 17053.51 4323.242
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## [4562,] 17073.51 4323.242
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## [4570,] 17153.51 4323.242
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## [4572,] 17173.51 4323.242
## [4573,] 17183.51 4323.242
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## [4575,] 17203.51 4323.242
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## [4577,] 17223.51 4323.242
## [4578,] 17233.51 4323.242
## [4579,] 16153.51 4333.242
## [4580,] 16163.51 4333.242
## [4581,] 16173.51 4333.242
## [4582,] 16183.51 4333.242
## [4583,] 16193.51 4333.242
## [4584,] 16203.51 4333.242
## [4585,] 16213.51 4333.242
## [4586,] 16223.51 4333.242
## [4587,] 16233.51 4333.242
## [4588,] 16243.51 4333.242
## [4589,] 16253.51 4333.242
## [4590,] 16263.51 4333.242
## [4591,] 16273.51 4333.242
## [4592,] 16283.51 4333.242
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## [4594,] 16303.51 4333.242
## [4595,] 16313.51 4333.242
## [4596,] 16323.51 4333.242
## [4597,] 16333.51 4333.242
## [4598,] 16343.51 4333.242
## [4599,] 16353.51 4333.242
## [4600,] 16363.51 4333.242
## [4601,] 16373.51 4333.242
## [4602,] 16383.51 4333.242
## [4603,] 16393.51 4333.242
## [4604,] 16403.51 4333.242
## [4605,] 16413.51 4333.242
## [4606,] 16423.51 4333.242
## [4607,] 16433.51 4333.242
## [4608,] 16443.51 4333.242
## [4609,] 16453.51 4333.242
## [4610,] 16463.51 4333.242
## [4611,] 16473.51 4333.242
## [4612,] 16483.51 4333.242
## [4613,] 16493.51 4333.242
## [4614,] 16503.51 4333.242
## [4615,] 16513.51 4333.242
## [4616,] 16523.51 4333.242
## [4617,] 16533.51 4333.242
## [4618,] 16543.51 4333.242
## [4619,] 16553.51 4333.242
## [4620,] 16563.51 4333.242
## [4621,] 16573.51 4333.242
## [4622,] 16583.51 4333.242
## [4623,] 16593.51 4333.242
## [4624,] 16603.51 4333.242
## [4625,] 16613.51 4333.242
## [4626,] 16623.51 4333.242
## [4627,] 16633.51 4333.242
## [4628,] 16643.51 4333.242
## [4629,] 16653.51 4333.242
## [4630,] 16663.51 4333.242
## [4631,] 16673.51 4333.242
## [4632,] 16683.51 4333.242
## [4633,] 16693.51 4333.242
## [4634,] 16703.51 4333.242
## [4635,] 16713.51 4333.242
## [4636,] 16723.51 4333.242
## [4637,] 16733.51 4333.242
## [4638,] 16743.51 4333.242
## [4639,] 16753.51 4333.242
## [4640,] 16763.51 4333.242
## [4641,] 16773.51 4333.242
## [4642,] 16783.51 4333.242
## [4643,] 16793.51 4333.242
## [4644,] 16803.51 4333.242
## [4645,] 16813.51 4333.242
## [4646,] 16823.51 4333.242
## [4647,] 16833.51 4333.242
## [4648,] 16843.51 4333.242
## [4649,] 16853.51 4333.242
## [4650,] 16863.51 4333.242
## [4651,] 16873.51 4333.242
## [4652,] 16883.51 4333.242
## [4653,] 16893.51 4333.242
## [4654,] 16903.51 4333.242
## [4655,] 16913.51 4333.242
## [4656,] 16923.51 4333.242
## [4657,] 16933.51 4333.242
## [4658,] 16943.51 4333.242
## [4659,] 16953.51 4333.242
## [4660,] 16963.51 4333.242
## [4661,] 16973.51 4333.242
## [4662,] 16983.51 4333.242
## [4663,] 16993.51 4333.242
## [4664,] 17003.51 4333.242
## [4665,] 17013.51 4333.242
## [4666,] 17023.51 4333.242
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## [4668,] 17043.51 4333.242
## [4669,] 17053.51 4333.242
## [4670,] 17063.51 4333.242
## [4671,] 17073.51 4333.242
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## [4673,] 17093.51 4333.242
## [4674,] 17103.51 4333.242
## [4675,] 17113.51 4333.242
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## [4677,] 17133.51 4333.242
## [4678,] 17143.51 4333.242
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## [4680,] 17163.51 4333.242
## [4681,] 17173.51 4333.242
## [4682,] 17183.51 4333.242
## [4683,] 17193.51 4333.242
## [4684,] 17203.51 4333.242
## [4685,] 17213.51 4333.242
## [4686,] 17223.51 4333.242
## [4687,] 17233.51 4333.242
## [4688,] 16153.51 4343.242
## [4689,] 16163.51 4343.242
## [4690,] 16173.51 4343.242
## [4691,] 16183.51 4343.242
## [4692,] 16193.51 4343.242
## [4693,] 16203.51 4343.242
## [4694,] 16213.51 4343.242
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## [4696,] 16233.51 4343.242
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## [4699,] 16263.51 4343.242
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## [4701,] 16283.51 4343.242
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## [4705,] 16323.51 4343.242
## [4706,] 16333.51 4343.242
## [4707,] 16343.51 4343.242
## [4708,] 16353.51 4343.242
## [4709,] 16363.51 4343.242
## [4710,] 16373.51 4343.242
## [4711,] 16383.51 4343.242
## [4712,] 16393.51 4343.242
## [4713,] 16403.51 4343.242
## [4714,] 16413.51 4343.242
## [4715,] 16423.51 4343.242
## [4716,] 16433.51 4343.242
## [4717,] 16443.51 4343.242
## [4718,] 16453.51 4343.242
## [4719,] 16463.51 4343.242
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## [4721,] 16483.51 4343.242
## [4722,] 16493.51 4343.242
## [4723,] 16503.51 4343.242
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## [4726,] 16533.51 4343.242
## [4727,] 16543.51 4343.242
## [4728,] 16553.51 4343.242
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## [4735,] 16623.51 4343.242
## [4736,] 16633.51 4343.242
## [4737,] 16643.51 4343.242
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## [4740,] 16673.51 4343.242
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## [4744,] 16713.51 4343.242
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## [4747,] 16743.51 4343.242
## [4748,] 16753.51 4343.242
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## [4756,] 16833.51 4343.242
## [4757,] 16843.51 4343.242
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## [4759,] 16863.51 4343.242
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## [4763,] 16903.51 4343.242
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## [4766,] 16933.51 4343.242
## [4767,] 16943.51 4343.242
## [4768,] 16953.51 4343.242
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## [4770,] 16973.51 4343.242
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## [4772,] 16993.51 4343.242
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## [4780,] 17073.51 4343.242
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## [4793,] 17203.51 4343.242
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## [4802,] 16203.51 4353.242
## [4803,] 16213.51 4353.242
## [4804,] 16223.51 4353.242
## [4805,] 16233.51 4353.242
## [4806,] 16243.51 4353.242
## [4807,] 16253.51 4353.242
## [4808,] 16263.51 4353.242
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## [4810,] 16283.51 4353.242
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## [4814,] 16323.51 4353.242
## [4815,] 16333.51 4353.242
## [4816,] 16343.51 4353.242
## [4817,] 16353.51 4353.242
## [4818,] 16363.51 4353.242
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## [4823,] 16413.51 4353.242
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## [4825,] 16433.51 4353.242
## [4826,] 16443.51 4353.242
## [4827,] 16453.51 4353.242
## [4828,] 16463.51 4353.242
## [4829,] 16473.51 4353.242
## [4830,] 16483.51 4353.242
## [4831,] 16493.51 4353.242
## [4832,] 16503.51 4353.242
## [4833,] 16513.51 4353.242
## [4834,] 16523.51 4353.242
## [4835,] 16533.51 4353.242
## [4836,] 16543.51 4353.242
## [4837,] 16553.51 4353.242
## [4838,] 16563.51 4353.242
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## [4840,] 16583.51 4353.242
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## [4842,] 16603.51 4353.242
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## [4845,] 16633.51 4353.242
## [4846,] 16643.51 4353.242
## [4847,] 16653.51 4353.242
## [4848,] 16663.51 4353.242
## [4849,] 16673.51 4353.242
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## [4851,] 16693.51 4353.242
## [4852,] 16703.51 4353.242
## [4853,] 16713.51 4353.242
## [4854,] 16723.51 4353.242
## [4855,] 16733.51 4353.242
## [4856,] 16743.51 4353.242
## [4857,] 16753.51 4353.242
## [4858,] 16763.51 4353.242
## [4859,] 16773.51 4353.242
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## [4863,] 16813.51 4353.242
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## [4865,] 16833.51 4353.242
## [4866,] 16843.51 4353.242
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## [4870,] 16883.51 4353.242
## [4871,] 16893.51 4353.242
## [4872,] 16903.51 4353.242
## [4873,] 16913.51 4353.242
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## [4875,] 16933.51 4353.242
## [4876,] 16943.51 4353.242
## [4877,] 16953.51 4353.242
## [4878,] 16963.51 4353.242
## [4879,] 16973.51 4353.242
## [4880,] 16983.51 4353.242
## [4881,] 16993.51 4353.242
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## [4889,] 17073.51 4353.242
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## [4902,] 17203.51 4353.242
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## [4904,] 17223.51 4353.242
## [4905,] 17233.51 4353.242
## [4906,] 16153.51 4363.242
## [4907,] 16163.51 4363.242
## [4908,] 16173.51 4363.242
## [4909,] 16183.51 4363.242
## [4910,] 16193.51 4363.242
## [4911,] 16203.51 4363.242
## [4912,] 16213.51 4363.242
## [4913,] 16223.51 4363.242
## [4914,] 16233.51 4363.242
## [4915,] 16243.51 4363.242
## [4916,] 16253.51 4363.242
## [4917,] 16263.51 4363.242
## [4918,] 16273.51 4363.242
## [4919,] 16283.51 4363.242
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## [4921,] 16303.51 4363.242
## [4922,] 16313.51 4363.242
## [4923,] 16323.51 4363.242
## [4924,] 16333.51 4363.242
## [4925,] 16343.51 4363.242
## [4926,] 16353.51 4363.242
## [4927,] 16363.51 4363.242
## [4928,] 16373.51 4363.242
## [4929,] 16383.51 4363.242
## [4930,] 16393.51 4363.242
## [4931,] 16403.51 4363.242
## [4932,] 16413.51 4363.242
## [4933,] 16423.51 4363.242
## [4934,] 16433.51 4363.242
## [4935,] 16443.51 4363.242
## [4936,] 16453.51 4363.242
## [4937,] 16463.51 4363.242
## [4938,] 16473.51 4363.242
## [4939,] 16483.51 4363.242
## [4940,] 16493.51 4363.242
## [4941,] 16503.51 4363.242
## [4942,] 16513.51 4363.242
## [4943,] 16523.51 4363.242
## [4944,] 16533.51 4363.242
## [4945,] 16543.51 4363.242
## [4946,] 16553.51 4363.242
## [4947,] 16563.51 4363.242
## [4948,] 16573.51 4363.242
## [4949,] 16583.51 4363.242
## [4950,] 16593.51 4363.242
## [4951,] 16603.51 4363.242
## [4952,] 16613.51 4363.242
## [4953,] 16623.51 4363.242
## [4954,] 16633.51 4363.242
## [4955,] 16643.51 4363.242
## [4956,] 16653.51 4363.242
## [4957,] 16663.51 4363.242
## [4958,] 16673.51 4363.242
## [4959,] 16683.51 4363.242
## [4960,] 16693.51 4363.242
## [4961,] 16703.51 4363.242
## [4962,] 16713.51 4363.242
## [4963,] 16723.51 4363.242
## [4964,] 16733.51 4363.242
## [4965,] 16743.51 4363.242
## [4966,] 16753.51 4363.242
## [4967,] 16763.51 4363.242
## [4968,] 16773.51 4363.242
## [4969,] 16783.51 4363.242
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## [4971,] 16803.51 4363.242
## [4972,] 16813.51 4363.242
## [4973,] 16823.51 4363.242
## [4974,] 16833.51 4363.242
## [4975,] 16843.51 4363.242
## [4976,] 16853.51 4363.242
## [4977,] 16863.51 4363.242
## [4978,] 16873.51 4363.242
## [4979,] 16883.51 4363.242
## [4980,] 16893.51 4363.242
## [4981,] 16903.51 4363.242
## [4982,] 16913.51 4363.242
## [4983,] 16923.51 4363.242
## [4984,] 16933.51 4363.242
## [4985,] 16943.51 4363.242
## [4986,] 16953.51 4363.242
## [4987,] 16963.51 4363.242
## [4988,] 16973.51 4363.242
## [4989,] 16983.51 4363.242
## [4990,] 16993.51 4363.242
## [4991,] 17003.51 4363.242
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## [4993,] 17023.51 4363.242
## [4994,] 17033.51 4363.242
## [4995,] 17043.51 4363.242
## [4996,] 17053.51 4363.242
## [4997,] 17063.51 4363.242
## [4998,] 17073.51 4363.242
## [4999,] 17083.51 4363.242
## [5000,] 17093.51 4363.242
## [5001,] 17103.51 4363.242
## [5002,] 17113.51 4363.242
## [5003,] 17123.51 4363.242
## [5004,] 17133.51 4363.242
## [5005,] 17143.51 4363.242
## [5006,] 17153.51 4363.242
## [5007,] 17163.51 4363.242
## [5008,] 17173.51 4363.242
## [5009,] 17183.51 4363.242
## [5010,] 17193.51 4363.242
## [5011,] 17203.51 4363.242
## [5012,] 17213.51 4363.242
## [5013,] 17223.51 4363.242
## [5014,] 17233.51 4363.242
## [5015,] 16153.51 4373.242
## [5016,] 16163.51 4373.242
## [5017,] 16173.51 4373.242
## [5018,] 16183.51 4373.242
## [5019,] 16193.51 4373.242
## [5020,] 16203.51 4373.242
## [5021,] 16213.51 4373.242
## [5022,] 16223.51 4373.242
## [5023,] 16233.51 4373.242
## [5024,] 16243.51 4373.242
## [5025,] 16253.51 4373.242
## [5026,] 16263.51 4373.242
## [5027,] 16273.51 4373.242
## [5028,] 16283.51 4373.242
## [5029,] 16293.51 4373.242
## [5030,] 16303.51 4373.242
## [5031,] 16313.51 4373.242
## [5032,] 16323.51 4373.242
## [5033,] 16333.51 4373.242
## [5034,] 16343.51 4373.242
## [5035,] 16353.51 4373.242
## [5036,] 16363.51 4373.242
## [5037,] 16373.51 4373.242
## [5038,] 16383.51 4373.242
## [5039,] 16393.51 4373.242
## [5040,] 16403.51 4373.242
## [5041,] 16413.51 4373.242
## [5042,] 16423.51 4373.242
## [5043,] 16433.51 4373.242
## [5044,] 16443.51 4373.242
## [5045,] 16453.51 4373.242
## [5046,] 16463.51 4373.242
## [5047,] 16473.51 4373.242
## [5048,] 16483.51 4373.242
## [5049,] 16493.51 4373.242
## [5050,] 16503.51 4373.242
## [5051,] 16513.51 4373.242
## [5052,] 16523.51 4373.242
## [5053,] 16533.51 4373.242
## [5054,] 16543.51 4373.242
## [5055,] 16553.51 4373.242
## [5056,] 16563.51 4373.242
## [5057,] 16573.51 4373.242
## [5058,] 16583.51 4373.242
## [5059,] 16593.51 4373.242
## [5060,] 16603.51 4373.242
## [5061,] 16613.51 4373.242
## [5062,] 16623.51 4373.242
## [5063,] 16633.51 4373.242
## [5064,] 16643.51 4373.242
## [5065,] 16653.51 4373.242
## [5066,] 16663.51 4373.242
## [5067,] 16673.51 4373.242
## [5068,] 16683.51 4373.242
## [5069,] 16693.51 4373.242
## [5070,] 16703.51 4373.242
## [5071,] 16713.51 4373.242
## [5072,] 16723.51 4373.242
## [5073,] 16733.51 4373.242
## [5074,] 16743.51 4373.242
## [5075,] 16753.51 4373.242
## [5076,] 16763.51 4373.242
## [5077,] 16773.51 4373.242
## [5078,] 16783.51 4373.242
## [5079,] 16793.51 4373.242
## [5080,] 16803.51 4373.242
## [5081,] 16813.51 4373.242
## [5082,] 16823.51 4373.242
## [5083,] 16833.51 4373.242
## [5084,] 16843.51 4373.242
## [5085,] 16853.51 4373.242
## [5086,] 16863.51 4373.242
## [5087,] 16873.51 4373.242
## [5088,] 16883.51 4373.242
## [5089,] 16893.51 4373.242
## [5090,] 16903.51 4373.242
## [5091,] 16913.51 4373.242
## [5092,] 16923.51 4373.242
## [5093,] 16933.51 4373.242
## [5094,] 16943.51 4373.242
## [5095,] 16953.51 4373.242
## [5096,] 16963.51 4373.242
## [5097,] 16973.51 4373.242
## [5098,] 16983.51 4373.242
## [5099,] 16993.51 4373.242
## [5100,] 17003.51 4373.242
## [5101,] 17013.51 4373.242
## [5102,] 17023.51 4373.242
## [5103,] 17033.51 4373.242
## [5104,] 17043.51 4373.242
## [5105,] 17053.51 4373.242
## [5106,] 17063.51 4373.242
## [5107,] 17073.51 4373.242
## [5108,] 17083.51 4373.242
## [5109,] 17093.51 4373.242
## [5110,] 17103.51 4373.242
## [5111,] 17113.51 4373.242
## [5112,] 17123.51 4373.242
## [5113,] 17133.51 4373.242
## [5114,] 17143.51 4373.242
## [5115,] 17153.51 4373.242
## [5116,] 17163.51 4373.242
## [5117,] 17173.51 4373.242
## [5118,] 17183.51 4373.242
## [5119,] 17193.51 4373.242
## [5120,] 17203.51 4373.242
## [5121,] 17213.51 4373.242
## [5122,] 17223.51 4373.242
## [5123,] 17233.51 4373.242
## [5124,] 16153.51 4383.242
## [5125,] 16163.51 4383.242
## [5126,] 16173.51 4383.242
## [5127,] 16183.51 4383.242
## [5128,] 16193.51 4383.242
## [5129,] 16203.51 4383.242
## [5130,] 16213.51 4383.242
## [5131,] 16223.51 4383.242
## [5132,] 16233.51 4383.242
## [5133,] 16243.51 4383.242
## [5134,] 16253.51 4383.242
## [5135,] 16263.51 4383.242
## [5136,] 16273.51 4383.242
## [5137,] 16283.51 4383.242
## [5138,] 16293.51 4383.242
## [5139,] 16303.51 4383.242
## [5140,] 16313.51 4383.242
## [5141,] 16323.51 4383.242
## [5142,] 16333.51 4383.242
## [5143,] 16343.51 4383.242
## [5144,] 16353.51 4383.242
## [5145,] 16363.51 4383.242
## [5146,] 16373.51 4383.242
## [5147,] 16383.51 4383.242
## [5148,] 16393.51 4383.242
## [5149,] 16403.51 4383.242
## [5150,] 16413.51 4383.242
## [5151,] 16423.51 4383.242
## [5152,] 16433.51 4383.242
## [5153,] 16443.51 4383.242
## [5154,] 16453.51 4383.242
## [5155,] 16463.51 4383.242
## [5156,] 16473.51 4383.242
## [5157,] 16483.51 4383.242
## [5158,] 16493.51 4383.242
## [5159,] 16503.51 4383.242
## [5160,] 16513.51 4383.242
## [5161,] 16523.51 4383.242
## [5162,] 16533.51 4383.242
## [5163,] 16543.51 4383.242
## [5164,] 16553.51 4383.242
## [5165,] 16563.51 4383.242
## [5166,] 16573.51 4383.242
## [5167,] 16583.51 4383.242
## [5168,] 16593.51 4383.242
## [5169,] 16603.51 4383.242
## [5170,] 16613.51 4383.242
## [5171,] 16623.51 4383.242
## [5172,] 16633.51 4383.242
## [5173,] 16643.51 4383.242
## [5174,] 16653.51 4383.242
## [5175,] 16663.51 4383.242
## [5176,] 16673.51 4383.242
## [5177,] 16683.51 4383.242
## [5178,] 16693.51 4383.242
## [5179,] 16703.51 4383.242
## [5180,] 16713.51 4383.242
## [5181,] 16723.51 4383.242
## [5182,] 16733.51 4383.242
## [5183,] 16743.51 4383.242
## [5184,] 16753.51 4383.242
## [5185,] 16763.51 4383.242
## [5186,] 16773.51 4383.242
## [5187,] 16783.51 4383.242
## [5188,] 16793.51 4383.242
## [5189,] 16803.51 4383.242
## [5190,] 16813.51 4383.242
## [5191,] 16823.51 4383.242
## [5192,] 16833.51 4383.242
## [5193,] 16843.51 4383.242
## [5194,] 16853.51 4383.242
## [5195,] 16863.51 4383.242
## [5196,] 16873.51 4383.242
## [5197,] 16883.51 4383.242
## [5198,] 16893.51 4383.242
## [5199,] 16903.51 4383.242
## [5200,] 16913.51 4383.242
## [5201,] 16923.51 4383.242
## [5202,] 16933.51 4383.242
## [5203,] 16943.51 4383.242
## [5204,] 16953.51 4383.242
## [5205,] 16963.51 4383.242
## [5206,] 16973.51 4383.242
## [5207,] 16983.51 4383.242
## [5208,] 16993.51 4383.242
## [5209,] 17003.51 4383.242
## [5210,] 17013.51 4383.242
## [5211,] 17023.51 4383.242
## [5212,] 17033.51 4383.242
## [5213,] 17043.51 4383.242
## [5214,] 17053.51 4383.242
## [5215,] 17063.51 4383.242
## [5216,] 17073.51 4383.242
## [5217,] 17083.51 4383.242
## [5218,] 17093.51 4383.242
## [5219,] 17103.51 4383.242
## [5220,] 17113.51 4383.242
## [5221,] 17123.51 4383.242
## [5222,] 17133.51 4383.242
## [5223,] 17143.51 4383.242
## [5224,] 17153.51 4383.242
## [5225,] 17163.51 4383.242
## [5226,] 17173.51 4383.242
## [5227,] 17183.51 4383.242
## [5228,] 17193.51 4383.242
## [5229,] 17203.51 4383.242
## [5230,] 17213.51 4383.242
## [5231,] 17223.51 4383.242
## [5232,] 17233.51 4383.242
## [5233,] 16153.51 4393.242
## [5234,] 16163.51 4393.242
## [5235,] 16173.51 4393.242
## [5236,] 16183.51 4393.242
## [5237,] 16193.51 4393.242
## [5238,] 16203.51 4393.242
## [5239,] 16213.51 4393.242
## [5240,] 16223.51 4393.242
## [5241,] 16233.51 4393.242
## [5242,] 16243.51 4393.242
## [5243,] 16253.51 4393.242
## [5244,] 16263.51 4393.242
## [5245,] 16273.51 4393.242
## [5246,] 16283.51 4393.242
## [5247,] 16293.51 4393.242
## [5248,] 16303.51 4393.242
## [5249,] 16313.51 4393.242
## [5250,] 16323.51 4393.242
## [5251,] 16333.51 4393.242
## [5252,] 16343.51 4393.242
## [5253,] 16353.51 4393.242
## [5254,] 16363.51 4393.242
## [5255,] 16373.51 4393.242
## [5256,] 16383.51 4393.242
## [5257,] 16393.51 4393.242
## [5258,] 16403.51 4393.242
## [5259,] 16413.51 4393.242
## [5260,] 16423.51 4393.242
## [5261,] 16433.51 4393.242
## [5262,] 16443.51 4393.242
## [5263,] 16453.51 4393.242
## [5264,] 16463.51 4393.242
## [5265,] 16473.51 4393.242
## [5266,] 16483.51 4393.242
## [5267,] 16493.51 4393.242
## [5268,] 16503.51 4393.242
## [5269,] 16513.51 4393.242
## [5270,] 16523.51 4393.242
## [5271,] 16533.51 4393.242
## [5272,] 16543.51 4393.242
## [5273,] 16553.51 4393.242
## [5274,] 16563.51 4393.242
## [5275,] 16573.51 4393.242
## [5276,] 16583.51 4393.242
## [5277,] 16593.51 4393.242
## [5278,] 16603.51 4393.242
## [5279,] 16613.51 4393.242
## [5280,] 16623.51 4393.242
## [5281,] 16633.51 4393.242
## [5282,] 16643.51 4393.242
## [5283,] 16653.51 4393.242
## [5284,] 16663.51 4393.242
## [5285,] 16673.51 4393.242
## [5286,] 16683.51 4393.242
## [5287,] 16693.51 4393.242
## [5288,] 16703.51 4393.242
## [5289,] 16713.51 4393.242
## [5290,] 16723.51 4393.242
## [5291,] 16733.51 4393.242
## [5292,] 16743.51 4393.242
## [5293,] 16753.51 4393.242
## [5294,] 16763.51 4393.242
## [5295,] 16773.51 4393.242
## [5296,] 16783.51 4393.242
## [5297,] 16793.51 4393.242
## [5298,] 16803.51 4393.242
## [5299,] 16813.51 4393.242
## [5300,] 16823.51 4393.242
## [5301,] 16833.51 4393.242
## [5302,] 16843.51 4393.242
## [5303,] 16853.51 4393.242
## [5304,] 16863.51 4393.242
## [5305,] 16873.51 4393.242
## [5306,] 16883.51 4393.242
## [5307,] 16893.51 4393.242
## [5308,] 16903.51 4393.242
## [5309,] 16913.51 4393.242
## [5310,] 16923.51 4393.242
## [5311,] 16933.51 4393.242
## [5312,] 16943.51 4393.242
## [5313,] 16953.51 4393.242
## [5314,] 16963.51 4393.242
## [5315,] 16973.51 4393.242
## [5316,] 16983.51 4393.242
## [5317,] 16993.51 4393.242
## [5318,] 17003.51 4393.242
## [5319,] 17013.51 4393.242
## [5320,] 17023.51 4393.242
## [5321,] 17033.51 4393.242
## [5322,] 17043.51 4393.242
## [5323,] 17053.51 4393.242
## [5324,] 17063.51 4393.242
## [5325,] 17073.51 4393.242
## [5326,] 17083.51 4393.242
## [5327,] 17093.51 4393.242
## [5328,] 17103.51 4393.242
## [5329,] 17113.51 4393.242
## [5330,] 17123.51 4393.242
## [5331,] 17133.51 4393.242
## [5332,] 17143.51 4393.242
## [5333,] 17153.51 4393.242
## [5334,] 17163.51 4393.242
## [5335,] 17173.51 4393.242
## [5336,] 17183.51 4393.242
## [5337,] 17193.51 4393.242
## [5338,] 17203.51 4393.242
## [5339,] 17213.51 4393.242
## [5340,] 17223.51 4393.242
## [5341,] 17233.51 4393.242
## [5342,] 16153.51 4403.242
## [5343,] 16163.51 4403.242
## [5344,] 16173.51 4403.242
## [5345,] 16183.51 4403.242
## [5346,] 16193.51 4403.242
## [5347,] 16203.51 4403.242
## [5348,] 16213.51 4403.242
## [5349,] 16223.51 4403.242
## [5350,] 16233.51 4403.242
## [5351,] 16243.51 4403.242
## [5352,] 16253.51 4403.242
## [5353,] 16263.51 4403.242
## [5354,] 16273.51 4403.242
## [5355,] 16283.51 4403.242
## [5356,] 16293.51 4403.242
## [5357,] 16303.51 4403.242
## [5358,] 16313.51 4403.242
## [5359,] 16323.51 4403.242
## [5360,] 16333.51 4403.242
## [5361,] 16343.51 4403.242
## [5362,] 16353.51 4403.242
## [5363,] 16363.51 4403.242
## [5364,] 16373.51 4403.242
## [5365,] 16383.51 4403.242
## [5366,] 16393.51 4403.242
## [5367,] 16403.51 4403.242
## [5368,] 16413.51 4403.242
## [5369,] 16423.51 4403.242
## [5370,] 16433.51 4403.242
## [5371,] 16443.51 4403.242
## [5372,] 16453.51 4403.242
## [5373,] 16463.51 4403.242
## [5374,] 16473.51 4403.242
## [5375,] 16483.51 4403.242
## [5376,] 16493.51 4403.242
## [5377,] 16503.51 4403.242
## [5378,] 16513.51 4403.242
## [5379,] 16523.51 4403.242
## [5380,] 16533.51 4403.242
## [5381,] 16543.51 4403.242
## [5382,] 16553.51 4403.242
## [5383,] 16563.51 4403.242
## [5384,] 16573.51 4403.242
## [5385,] 16583.51 4403.242
## [5386,] 16593.51 4403.242
## [5387,] 16603.51 4403.242
## [5388,] 16613.51 4403.242
## [5389,] 16623.51 4403.242
## [5390,] 16633.51 4403.242
## [5391,] 16643.51 4403.242
## [5392,] 16653.51 4403.242
## [5393,] 16663.51 4403.242
## [5394,] 16673.51 4403.242
## [5395,] 16683.51 4403.242
## [5396,] 16693.51 4403.242
## [5397,] 16703.51 4403.242
## [5398,] 16713.51 4403.242
## [5399,] 16723.51 4403.242
## [5400,] 16733.51 4403.242
## [5401,] 16743.51 4403.242
## [5402,] 16753.51 4403.242
## [5403,] 16763.51 4403.242
## [5404,] 16773.51 4403.242
## [5405,] 16783.51 4403.242
## [5406,] 16793.51 4403.242
## [5407,] 16803.51 4403.242
## [5408,] 16813.51 4403.242
## [5409,] 16823.51 4403.242
## [5410,] 16833.51 4403.242
## [5411,] 16843.51 4403.242
## [5412,] 16853.51 4403.242
## [5413,] 16863.51 4403.242
## [5414,] 16873.51 4403.242
## [5415,] 16883.51 4403.242
## [5416,] 16893.51 4403.242
## [5417,] 16903.51 4403.242
## [5418,] 16913.51 4403.242
## [5419,] 16923.51 4403.242
## [5420,] 16933.51 4403.242
## [5421,] 16943.51 4403.242
## [5422,] 16953.51 4403.242
## [5423,] 16963.51 4403.242
## [5424,] 16973.51 4403.242
## [5425,] 16983.51 4403.242
## [5426,] 16993.51 4403.242
## [5427,] 17003.51 4403.242
## [5428,] 17013.51 4403.242
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## [5430,] 17033.51 4403.242
## [5431,] 17043.51 4403.242
## [5432,] 17053.51 4403.242
## [5433,] 17063.51 4403.242
## [5434,] 17073.51 4403.242
## [5435,] 17083.51 4403.242
## [5436,] 17093.51 4403.242
## [5437,] 17103.51 4403.242
## [5438,] 17113.51 4403.242
## [5439,] 17123.51 4403.242
## [5440,] 17133.51 4403.242
## [5441,] 17143.51 4403.242
## [5442,] 17153.51 4403.242
## [5443,] 17163.51 4403.242
## [5444,] 17173.51 4403.242
## [5445,] 17183.51 4403.242
## [5446,] 17193.51 4403.242
## [5447,] 17203.51 4403.242
## [5448,] 17213.51 4403.242
## [5449,] 17223.51 4403.242
## [5450,] 17233.51 4403.242
## [5451,] 16153.51 4413.242
## [5452,] 16163.51 4413.242
## [5453,] 16173.51 4413.242
## [5454,] 16183.51 4413.242
## [5455,] 16193.51 4413.242
## [5456,] 16203.51 4413.242
## [5457,] 16213.51 4413.242
## [5458,] 16223.51 4413.242
## [5459,] 16233.51 4413.242
## [5460,] 16243.51 4413.242
## [5461,] 16253.51 4413.242
## [5462,] 16263.51 4413.242
## [5463,] 16273.51 4413.242
## [5464,] 16283.51 4413.242
## [5465,] 16293.51 4413.242
## [5466,] 16303.51 4413.242
## [5467,] 16313.51 4413.242
## [5468,] 16323.51 4413.242
## [5469,] 16333.51 4413.242
## [5470,] 16343.51 4413.242
## [5471,] 16353.51 4413.242
## [5472,] 16363.51 4413.242
## [5473,] 16373.51 4413.242
## [5474,] 16383.51 4413.242
## [5475,] 16393.51 4413.242
## [5476,] 16403.51 4413.242
## [5477,] 16413.51 4413.242
## [5478,] 16423.51 4413.242
## [5479,] 16433.51 4413.242
## [5480,] 16443.51 4413.242
## [5481,] 16453.51 4413.242
## [5482,] 16463.51 4413.242
## [5483,] 16473.51 4413.242
## [5484,] 16483.51 4413.242
## [5485,] 16493.51 4413.242
## [5486,] 16503.51 4413.242
## [5487,] 16513.51 4413.242
## [5488,] 16523.51 4413.242
## [5489,] 16533.51 4413.242
## [5490,] 16543.51 4413.242
## [5491,] 16553.51 4413.242
## [5492,] 16563.51 4413.242
## [5493,] 16573.51 4413.242
## [5494,] 16583.51 4413.242
## [5495,] 16593.51 4413.242
## [5496,] 16603.51 4413.242
## [5497,] 16613.51 4413.242
## [5498,] 16623.51 4413.242
## [5499,] 16633.51 4413.242
## [5500,] 16643.51 4413.242
## [5501,] 16653.51 4413.242
## [5502,] 16663.51 4413.242
## [5503,] 16673.51 4413.242
## [5504,] 16683.51 4413.242
## [5505,] 16693.51 4413.242
## [5506,] 16703.51 4413.242
## [5507,] 16713.51 4413.242
## [5508,] 16723.51 4413.242
## [5509,] 16733.51 4413.242
## [5510,] 16743.51 4413.242
## [5511,] 16753.51 4413.242
## [5512,] 16763.51 4413.242
## [5513,] 16773.51 4413.242
## [5514,] 16783.51 4413.242
## [5515,] 16793.51 4413.242
## [5516,] 16803.51 4413.242
## [5517,] 16813.51 4413.242
## [5518,] 16823.51 4413.242
## [5519,] 16833.51 4413.242
## [5520,] 16843.51 4413.242
## [5521,] 16853.51 4413.242
## [5522,] 16863.51 4413.242
## [5523,] 16873.51 4413.242
## [5524,] 16883.51 4413.242
## [5525,] 16893.51 4413.242
## [5526,] 16903.51 4413.242
## [5527,] 16913.51 4413.242
## [5528,] 16923.51 4413.242
## [5529,] 16933.51 4413.242
## [5530,] 16943.51 4413.242
## [5531,] 16953.51 4413.242
## [5532,] 16963.51 4413.242
## [5533,] 16973.51 4413.242
## [5534,] 16983.51 4413.242
## [5535,] 16993.51 4413.242
## [5536,] 17003.51 4413.242
## [5537,] 17013.51 4413.242
## [5538,] 17023.51 4413.242
## [5539,] 17033.51 4413.242
## [5540,] 17043.51 4413.242
## [5541,] 17053.51 4413.242
## [5542,] 17063.51 4413.242
## [5543,] 17073.51 4413.242
## [5544,] 17083.51 4413.242
## [5545,] 17093.51 4413.242
## [5546,] 17103.51 4413.242
## [5547,] 17113.51 4413.242
## [5548,] 17123.51 4413.242
## [5549,] 17133.51 4413.242
## [5550,] 17143.51 4413.242
## [5551,] 17153.51 4413.242
## [5552,] 17163.51 4413.242
## [5553,] 17173.51 4413.242
## [5554,] 17183.51 4413.242
## [5555,] 17193.51 4413.242
## [5556,] 17203.51 4413.242
## [5557,] 17213.51 4413.242
## [5558,] 17223.51 4413.242
## [5559,] 17233.51 4413.242
## [5560,] 16153.51 4423.242
## [5561,] 16163.51 4423.242
## [5562,] 16173.51 4423.242
## [5563,] 16183.51 4423.242
## [5564,] 16193.51 4423.242
## [5565,] 16203.51 4423.242
## [5566,] 16213.51 4423.242
## [5567,] 16223.51 4423.242
## [5568,] 16233.51 4423.242
## [5569,] 16243.51 4423.242
## [5570,] 16253.51 4423.242
## [5571,] 16263.51 4423.242
## [5572,] 16273.51 4423.242
## [5573,] 16283.51 4423.242
## [5574,] 16293.51 4423.242
## [5575,] 16303.51 4423.242
## [5576,] 16313.51 4423.242
## [5577,] 16323.51 4423.242
## [5578,] 16333.51 4423.242
## [5579,] 16343.51 4423.242
## [5580,] 16353.51 4423.242
## [5581,] 16363.51 4423.242
## [5582,] 16373.51 4423.242
## [5583,] 16383.51 4423.242
## [5584,] 16393.51 4423.242
## [5585,] 16403.51 4423.242
## [5586,] 16413.51 4423.242
## [5587,] 16423.51 4423.242
## [5588,] 16433.51 4423.242
## [5589,] 16443.51 4423.242
## [5590,] 16453.51 4423.242
## [5591,] 16463.51 4423.242
## [5592,] 16473.51 4423.242
## [5593,] 16483.51 4423.242
## [5594,] 16493.51 4423.242
## [5595,] 16503.51 4423.242
## [5596,] 16513.51 4423.242
## [5597,] 16523.51 4423.242
## [5598,] 16533.51 4423.242
## [5599,] 16543.51 4423.242
## [5600,] 16553.51 4423.242
## [5601,] 16563.51 4423.242
## [5602,] 16573.51 4423.242
## [5603,] 16583.51 4423.242
## [5604,] 16593.51 4423.242
## [5605,] 16603.51 4423.242
## [5606,] 16613.51 4423.242
## [5607,] 16623.51 4423.242
## [5608,] 16633.51 4423.242
## [5609,] 16643.51 4423.242
## [5610,] 16653.51 4423.242
## [5611,] 16663.51 4423.242
## [5612,] 16673.51 4423.242
## [5613,] 16683.51 4423.242
## [5614,] 16693.51 4423.242
## [5615,] 16703.51 4423.242
## [5616,] 16713.51 4423.242
## [5617,] 16723.51 4423.242
## [5618,] 16733.51 4423.242
## [5619,] 16743.51 4423.242
## [5620,] 16753.51 4423.242
## [5621,] 16763.51 4423.242
## [5622,] 16773.51 4423.242
## [5623,] 16783.51 4423.242
## [5624,] 16793.51 4423.242
## [5625,] 16803.51 4423.242
## [5626,] 16813.51 4423.242
## [5627,] 16823.51 4423.242
## [5628,] 16833.51 4423.242
## [5629,] 16843.51 4423.242
## [5630,] 16853.51 4423.242
## [5631,] 16863.51 4423.242
## [5632,] 16873.51 4423.242
## [5633,] 16883.51 4423.242
## [5634,] 16893.51 4423.242
## [5635,] 16903.51 4423.242
## [5636,] 16913.51 4423.242
## [5637,] 16923.51 4423.242
## [5638,] 16933.51 4423.242
## [5639,] 16943.51 4423.242
## [5640,] 16953.51 4423.242
## [5641,] 16963.51 4423.242
## [5642,] 16973.51 4423.242
## [5643,] 16983.51 4423.242
## [5644,] 16993.51 4423.242
## [5645,] 17003.51 4423.242
## [5646,] 17013.51 4423.242
## [5647,] 17023.51 4423.242
## [5648,] 17033.51 4423.242
## [5649,] 17043.51 4423.242
## [5650,] 17053.51 4423.242
## [5651,] 17063.51 4423.242
## [5652,] 17073.51 4423.242
## [5653,] 17083.51 4423.242
## [5654,] 17093.51 4423.242
## [5655,] 17103.51 4423.242
## [5656,] 17113.51 4423.242
## [5657,] 17123.51 4423.242
## [5658,] 17133.51 4423.242
## [5659,] 17143.51 4423.242
## [5660,] 17153.51 4423.242
## [5661,] 17163.51 4423.242
## [5662,] 17173.51 4423.242
## [5663,] 17183.51 4423.242
## [5664,] 17193.51 4423.242
## [5665,] 17203.51 4423.242
## [5666,] 17213.51 4423.242
## [5667,] 17223.51 4423.242
## [5668,] 17233.51 4423.242
## [5669,] 16153.51 4433.242
## [5670,] 16163.51 4433.242
## [5671,] 16173.51 4433.242
## [5672,] 16183.51 4433.242
## [5673,] 16193.51 4433.242
## [5674,] 16203.51 4433.242
## [5675,] 16213.51 4433.242
## [5676,] 16223.51 4433.242
## [5677,] 16233.51 4433.242
## [5678,] 16243.51 4433.242
## [5679,] 16253.51 4433.242
## [5680,] 16263.51 4433.242
## [5681,] 16273.51 4433.242
## [5682,] 16283.51 4433.242
## [5683,] 16293.51 4433.242
## [5684,] 16303.51 4433.242
## [5685,] 16313.51 4433.242
## [5686,] 16323.51 4433.242
## [5687,] 16333.51 4433.242
## [5688,] 16343.51 4433.242
## [5689,] 16353.51 4433.242
## [5690,] 16363.51 4433.242
## [5691,] 16373.51 4433.242
## [5692,] 16383.51 4433.242
## [5693,] 16393.51 4433.242
## [5694,] 16403.51 4433.242
## [5695,] 16413.51 4433.242
## [5696,] 16423.51 4433.242
## [5697,] 16433.51 4433.242
## [5698,] 16443.51 4433.242
## [5699,] 16453.51 4433.242
## [5700,] 16463.51 4433.242
## [5701,] 16473.51 4433.242
## [5702,] 16483.51 4433.242
## [5703,] 16493.51 4433.242
## [5704,] 16503.51 4433.242
## [5705,] 16513.51 4433.242
## [5706,] 16523.51 4433.242
## [5707,] 16533.51 4433.242
## [5708,] 16543.51 4433.242
## [5709,] 16553.51 4433.242
## [5710,] 16563.51 4433.242
## [5711,] 16573.51 4433.242
## [5712,] 16583.51 4433.242
## [5713,] 16593.51 4433.242
## [5714,] 16603.51 4433.242
## [5715,] 16613.51 4433.242
## [5716,] 16623.51 4433.242
## [5717,] 16633.51 4433.242
## [5718,] 16643.51 4433.242
## [5719,] 16653.51 4433.242
## [5720,] 16663.51 4433.242
## [5721,] 16673.51 4433.242
## [5722,] 16683.51 4433.242
## [5723,] 16693.51 4433.242
## [5724,] 16703.51 4433.242
## [5725,] 16713.51 4433.242
## [5726,] 16723.51 4433.242
## [5727,] 16733.51 4433.242
## [5728,] 16743.51 4433.242
## [5729,] 16753.51 4433.242
## [5730,] 16763.51 4433.242
## [5731,] 16773.51 4433.242
## [5732,] 16783.51 4433.242
## [5733,] 16793.51 4433.242
## [5734,] 16803.51 4433.242
## [5735,] 16813.51 4433.242
## [5736,] 16823.51 4433.242
## [5737,] 16833.51 4433.242
## [5738,] 16843.51 4433.242
## [5739,] 16853.51 4433.242
## [5740,] 16863.51 4433.242
## [5741,] 16873.51 4433.242
## [5742,] 16883.51 4433.242
## [5743,] 16893.51 4433.242
## [5744,] 16903.51 4433.242
## [5745,] 16913.51 4433.242
## [5746,] 16923.51 4433.242
## [5747,] 16933.51 4433.242
## [5748,] 16943.51 4433.242
## [5749,] 16953.51 4433.242
## [5750,] 16963.51 4433.242
## [5751,] 16973.51 4433.242
## [5752,] 16983.51 4433.242
## [5753,] 16993.51 4433.242
## [5754,] 17003.51 4433.242
## [5755,] 17013.51 4433.242
## [5756,] 17023.51 4433.242
## [5757,] 17033.51 4433.242
## [5758,] 17043.51 4433.242
## [5759,] 17053.51 4433.242
## [5760,] 17063.51 4433.242
## [5761,] 17073.51 4433.242
## [5762,] 17083.51 4433.242
## [5763,] 17093.51 4433.242
## [5764,] 17103.51 4433.242
## [5765,] 17113.51 4433.242
## [5766,] 17123.51 4433.242
## [5767,] 17133.51 4433.242
## [5768,] 17143.51 4433.242
## [5769,] 17153.51 4433.242
## [5770,] 17163.51 4433.242
## [5771,] 17173.51 4433.242
## [5772,] 17183.51 4433.242
## [5773,] 17193.51 4433.242
## [5774,] 17203.51 4433.242
## [5775,] 17213.51 4433.242
## [5776,] 17223.51 4433.242
## [5777,] 17233.51 4433.242
## [5778,] 16153.51 4443.242
## [5779,] 16163.51 4443.242
## [5780,] 16173.51 4443.242
## [5781,] 16183.51 4443.242
## [5782,] 16193.51 4443.242
## [5783,] 16203.51 4443.242
## [5784,] 16213.51 4443.242
## [5785,] 16223.51 4443.242
## [5786,] 16233.51 4443.242
## [5787,] 16243.51 4443.242
## [5788,] 16253.51 4443.242
## [5789,] 16263.51 4443.242
## [5790,] 16273.51 4443.242
## [5791,] 16283.51 4443.242
## [5792,] 16293.51 4443.242
## [5793,] 16303.51 4443.242
## [5794,] 16313.51 4443.242
## [5795,] 16323.51 4443.242
## [5796,] 16333.51 4443.242
## [5797,] 16343.51 4443.242
## [5798,] 16353.51 4443.242
## [5799,] 16363.51 4443.242
## [5800,] 16373.51 4443.242
## [5801,] 16383.51 4443.242
## [5802,] 16393.51 4443.242
## [5803,] 16403.51 4443.242
## [5804,] 16413.51 4443.242
## [5805,] 16423.51 4443.242
## [5806,] 16433.51 4443.242
## [5807,] 16443.51 4443.242
## [5808,] 16453.51 4443.242
## [5809,] 16463.51 4443.242
## [5810,] 16473.51 4443.242
## [5811,] 16483.51 4443.242
## [5812,] 16493.51 4443.242
## [5813,] 16503.51 4443.242
## [5814,] 16513.51 4443.242
## [5815,] 16523.51 4443.242
## [5816,] 16533.51 4443.242
## [5817,] 16543.51 4443.242
## [5818,] 16553.51 4443.242
## [5819,] 16563.51 4443.242
## [5820,] 16573.51 4443.242
## [5821,] 16583.51 4443.242
## [5822,] 16593.51 4443.242
## [5823,] 16603.51 4443.242
## [5824,] 16613.51 4443.242
## [5825,] 16623.51 4443.242
## [5826,] 16633.51 4443.242
## [5827,] 16643.51 4443.242
## [5828,] 16653.51 4443.242
## [5829,] 16663.51 4443.242
## [5830,] 16673.51 4443.242
## [5831,] 16683.51 4443.242
## [5832,] 16693.51 4443.242
## [5833,] 16703.51 4443.242
## [5834,] 16713.51 4443.242
## [5835,] 16723.51 4443.242
## [5836,] 16733.51 4443.242
## [5837,] 16743.51 4443.242
## [5838,] 16753.51 4443.242
## [5839,] 16763.51 4443.242
## [5840,] 16773.51 4443.242
## [5841,] 16783.51 4443.242
## [5842,] 16793.51 4443.242
## [5843,] 16803.51 4443.242
## [5844,] 16813.51 4443.242
## [5845,] 16823.51 4443.242
## [5846,] 16833.51 4443.242
## [5847,] 16843.51 4443.242
## [5848,] 16853.51 4443.242
## [5849,] 16863.51 4443.242
## [5850,] 16873.51 4443.242
## [5851,] 16883.51 4443.242
## [5852,] 16893.51 4443.242
## [5853,] 16903.51 4443.242
## [5854,] 16913.51 4443.242
## [5855,] 16923.51 4443.242
## [5856,] 16933.51 4443.242
## [5857,] 16943.51 4443.242
## [5858,] 16953.51 4443.242
## [5859,] 16963.51 4443.242
## [5860,] 16973.51 4443.242
## [5861,] 16983.51 4443.242
## [5862,] 16993.51 4443.242
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## [5865,] 17023.51 4443.242
## [5866,] 17033.51 4443.242
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## [5869,] 17063.51 4443.242
## [5870,] 17073.51 4443.242
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## [5875,] 17123.51 4443.242
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## [5877,] 17143.51 4443.242
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## [5879,] 17163.51 4443.242
## [5880,] 17173.51 4443.242
## [5881,] 17183.51 4443.242
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## [5883,] 17203.51 4443.242
## [5884,] 17213.51 4443.242
## [5885,] 17223.51 4443.242
## [5886,] 17233.51 4443.242
## [5887,] 16153.51 4453.242
## [5888,] 16163.51 4453.242
## [5889,] 16173.51 4453.242
## [5890,] 16183.51 4453.242
## [5891,] 16193.51 4453.242
## [5892,] 16203.51 4453.242
## [5893,] 16213.51 4453.242
## [5894,] 16223.51 4453.242
## [5895,] 16233.51 4453.242
## [5896,] 16243.51 4453.242
## [5897,] 16253.51 4453.242
## [5898,] 16263.51 4453.242
## [5899,] 16273.51 4453.242
## [5900,] 16283.51 4453.242
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## [5902,] 16303.51 4453.242
## [5903,] 16313.51 4453.242
## [5904,] 16323.51 4453.242
## [5905,] 16333.51 4453.242
## [5906,] 16343.51 4453.242
## [5907,] 16353.51 4453.242
## [5908,] 16363.51 4453.242
## [5909,] 16373.51 4453.242
## [5910,] 16383.51 4453.242
## [5911,] 16393.51 4453.242
## [5912,] 16403.51 4453.242
## [5913,] 16413.51 4453.242
## [5914,] 16423.51 4453.242
## [5915,] 16433.51 4453.242
## [5916,] 16443.51 4453.242
## [5917,] 16453.51 4453.242
## [5918,] 16463.51 4453.242
## [5919,] 16473.51 4453.242
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## [5921,] 16493.51 4453.242
## [5922,] 16503.51 4453.242
## [5923,] 16513.51 4453.242
## [5924,] 16523.51 4453.242
## [5925,] 16533.51 4453.242
## [5926,] 16543.51 4453.242
## [5927,] 16553.51 4453.242
## [5928,] 16563.51 4453.242
## [5929,] 16573.51 4453.242
## [5930,] 16583.51 4453.242
## [5931,] 16593.51 4453.242
## [5932,] 16603.51 4453.242
## [5933,] 16613.51 4453.242
## [5934,] 16623.51 4453.242
## [5935,] 16633.51 4453.242
## [5936,] 16643.51 4453.242
## [5937,] 16653.51 4453.242
## [5938,] 16663.51 4453.242
## [5939,] 16673.51 4453.242
## [5940,] 16683.51 4453.242
## [5941,] 16693.51 4453.242
## [5942,] 16703.51 4453.242
## [5943,] 16713.51 4453.242
## [5944,] 16723.51 4453.242
## [5945,] 16733.51 4453.242
## [5946,] 16743.51 4453.242
## [5947,] 16753.51 4453.242
## [5948,] 16763.51 4453.242
## [5949,] 16773.51 4453.242
## [5950,] 16783.51 4453.242
## [5951,] 16793.51 4453.242
## [5952,] 16803.51 4453.242
## [5953,] 16813.51 4453.242
## [5954,] 16823.51 4453.242
## [5955,] 16833.51 4453.242
## [5956,] 16843.51 4453.242
## [5957,] 16853.51 4453.242
## [5958,] 16863.51 4453.242
## [5959,] 16873.51 4453.242
## [5960,] 16883.51 4453.242
## [5961,] 16893.51 4453.242
## [5962,] 16903.51 4453.242
## [5963,] 16913.51 4453.242
## [5964,] 16923.51 4453.242
## [5965,] 16933.51 4453.242
## [5966,] 16943.51 4453.242
## [5967,] 16953.51 4453.242
## [5968,] 16963.51 4453.242
## [5969,] 16973.51 4453.242
## [5970,] 16983.51 4453.242
## [5971,] 16993.51 4453.242
## [5972,] 17003.51 4453.242
## [5973,] 17013.51 4453.242
## [5974,] 17023.51 4453.242
## [5975,] 17033.51 4453.242
## [5976,] 17043.51 4453.242
## [5977,] 17053.51 4453.242
## [5978,] 17063.51 4453.242
## [5979,] 17073.51 4453.242
## [5980,] 17083.51 4453.242
## [5981,] 17093.51 4453.242
## [5982,] 17103.51 4453.242
## [5983,] 17113.51 4453.242
## [5984,] 17123.51 4453.242
## [5985,] 17133.51 4453.242
## [5986,] 17143.51 4453.242
## [5987,] 17153.51 4453.242
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## [6035,] 16543.51 4463.242
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## [6044,] 16633.51 4463.242
## [6045,] 16643.51 4463.242
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## [6051,] 16703.51 4463.242
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## [6056,] 16753.51 4463.242
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## [6076,] 16953.51 4463.242
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## [6080,] 16993.51 4463.242
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## [6086,] 17053.51 4463.242
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## [6095,] 17143.51 4463.242
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## [6104,] 17233.51 4463.242
## [6105,] 16153.51 4473.242
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## [6112,] 16223.51 4473.242
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## [6116,] 16263.51 4473.242
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## [6120,] 16303.51 4473.242
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## [6123,] 16333.51 4473.242
## [6124,] 16343.51 4473.242
## [6125,] 16353.51 4473.242
## [6126,] 16363.51 4473.242
## [6127,] 16373.51 4473.242
## [6128,] 16383.51 4473.242
## [6129,] 16393.51 4473.242
## [6130,] 16403.51 4473.242
## [6131,] 16413.51 4473.242
## [6132,] 16423.51 4473.242
## [6133,] 16433.51 4473.242
## [6134,] 16443.51 4473.242
## [6135,] 16453.51 4473.242
## [6136,] 16463.51 4473.242
## [6137,] 16473.51 4473.242
## [6138,] 16483.51 4473.242
## [6139,] 16493.51 4473.242
## [6140,] 16503.51 4473.242
## [6141,] 16513.51 4473.242
## [6142,] 16523.51 4473.242
## [6143,] 16533.51 4473.242
## [6144,] 16543.51 4473.242
## [6145,] 16553.51 4473.242
## [6146,] 16563.51 4473.242
## [6147,] 16573.51 4473.242
## [6148,] 16583.51 4473.242
## [6149,] 16593.51 4473.242
## [6150,] 16603.51 4473.242
## [6151,] 16613.51 4473.242
## [6152,] 16623.51 4473.242
## [6153,] 16633.51 4473.242
## [6154,] 16643.51 4473.242
## [6155,] 16653.51 4473.242
## [6156,] 16663.51 4473.242
## [6157,] 16673.51 4473.242
## [6158,] 16683.51 4473.242
## [6159,] 16693.51 4473.242
## [6160,] 16703.51 4473.242
## [6161,] 16713.51 4473.242
## [6162,] 16723.51 4473.242
## [6163,] 16733.51 4473.242
## [6164,] 16743.51 4473.242
## [6165,] 16753.51 4473.242
## [6166,] 16763.51 4473.242
## [6167,] 16773.51 4473.242
## [6168,] 16783.51 4473.242
## [6169,] 16793.51 4473.242
## [6170,] 16803.51 4473.242
## [6171,] 16813.51 4473.242
## [6172,] 16823.51 4473.242
## [6173,] 16833.51 4473.242
## [6174,] 16843.51 4473.242
## [6175,] 16853.51 4473.242
## [6176,] 16863.51 4473.242
## [6177,] 16873.51 4473.242
## [6178,] 16883.51 4473.242
## [6179,] 16893.51 4473.242
## [6180,] 16903.51 4473.242
## [6181,] 16913.51 4473.242
## [6182,] 16923.51 4473.242
## [6183,] 16933.51 4473.242
## [6184,] 16943.51 4473.242
## [6185,] 16953.51 4473.242
## [6186,] 16963.51 4473.242
## [6187,] 16973.51 4473.242
## [6188,] 16983.51 4473.242
## [6189,] 16993.51 4473.242
## [6190,] 17003.51 4473.242
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## [6192,] 17023.51 4473.242
## [6193,] 17033.51 4473.242
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## [6195,] 17053.51 4473.242
## [6196,] 17063.51 4473.242
## [6197,] 17073.51 4473.242
## [6198,] 17083.51 4473.242
## [6199,] 17093.51 4473.242
## [6200,] 17103.51 4473.242
## [6201,] 17113.51 4473.242
## [6202,] 17123.51 4473.242
## [6203,] 17133.51 4473.242
## [6204,] 17143.51 4473.242
## [6205,] 17153.51 4473.242
## [6206,] 17163.51 4473.242
## [6207,] 17173.51 4473.242
## [6208,] 17183.51 4473.242
## [6209,] 17193.51 4473.242
## [6210,] 17203.51 4473.242
## [6211,] 17213.51 4473.242
## [6212,] 17223.51 4473.242
## [6213,] 17233.51 4473.242
## [6214,] 16153.51 4483.242
## [6215,] 16163.51 4483.242
## [6216,] 16173.51 4483.242
## [6217,] 16183.51 4483.242
## [6218,] 16193.51 4483.242
## [6219,] 16203.51 4483.242
## [6220,] 16213.51 4483.242
## [6221,] 16223.51 4483.242
## [6222,] 16233.51 4483.242
## [6223,] 16243.51 4483.242
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## [6225,] 16263.51 4483.242
## [6226,] 16273.51 4483.242
## [6227,] 16283.51 4483.242
## [6228,] 16293.51 4483.242
## [6229,] 16303.51 4483.242
## [6230,] 16313.51 4483.242
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## [6232,] 16333.51 4483.242
## [6233,] 16343.51 4483.242
## [6234,] 16353.51 4483.242
## [6235,] 16363.51 4483.242
## [6236,] 16373.51 4483.242
## [6237,] 16383.51 4483.242
## [6238,] 16393.51 4483.242
## [6239,] 16403.51 4483.242
## [6240,] 16413.51 4483.242
## [6241,] 16423.51 4483.242
## [6242,] 16433.51 4483.242
## [6243,] 16443.51 4483.242
## [6244,] 16453.51 4483.242
## [6245,] 16463.51 4483.242
## [6246,] 16473.51 4483.242
## [6247,] 16483.51 4483.242
## [6248,] 16493.51 4483.242
## [6249,] 16503.51 4483.242
## [6250,] 16513.51 4483.242
## [6251,] 16523.51 4483.242
## [6252,] 16533.51 4483.242
## [6253,] 16543.51 4483.242
## [6254,] 16553.51 4483.242
## [6255,] 16563.51 4483.242
## [6256,] 16573.51 4483.242
## [6257,] 16583.51 4483.242
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## [6260,] 16613.51 4483.242
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## [6262,] 16633.51 4483.242
## [6263,] 16643.51 4483.242
## [6264,] 16653.51 4483.242
## [6265,] 16663.51 4483.242
## [6266,] 16673.51 4483.242
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## [6269,] 16703.51 4483.242
## [6270,] 16713.51 4483.242
## [6271,] 16723.51 4483.242
## [6272,] 16733.51 4483.242
## [6273,] 16743.51 4483.242
## [6274,] 16753.51 4483.242
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## [6279,] 16803.51 4483.242
## [6280,] 16813.51 4483.242
## [6281,] 16823.51 4483.242
## [6282,] 16833.51 4483.242
## [6283,] 16843.51 4483.242
## [6284,] 16853.51 4483.242
## [6285,] 16863.51 4483.242
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## [6288,] 16893.51 4483.242
## [6289,] 16903.51 4483.242
## [6290,] 16913.51 4483.242
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## [6292,] 16933.51 4483.242
## [6293,] 16943.51 4483.242
## [6294,] 16953.51 4483.242
## [6295,] 16963.51 4483.242
## [6296,] 16973.51 4483.242
## [6297,] 16983.51 4483.242
## [6298,] 16993.51 4483.242
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## [6304,] 17053.51 4483.242
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## [6306,] 17073.51 4483.242
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## [6313,] 17143.51 4483.242
## [6314,] 17153.51 4483.242
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## [6316,] 17173.51 4483.242
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## [6319,] 17203.51 4483.242
## [6320,] 17213.51 4483.242
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## [6323,] 16153.51 4493.242
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## [6326,] 16183.51 4493.242
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## [6328,] 16203.51 4493.242
## [6329,] 16213.51 4493.242
## [6330,] 16223.51 4493.242
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## [6332,] 16243.51 4493.242
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## [6336,] 16283.51 4493.242
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## [6340,] 16323.51 4493.242
## [6341,] 16333.51 4493.242
## [6342,] 16343.51 4493.242
## [6343,] 16353.51 4493.242
## [6344,] 16363.51 4493.242
## [6345,] 16373.51 4493.242
## [6346,] 16383.51 4493.242
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## [6349,] 16413.51 4493.242
## [6350,] 16423.51 4493.242
## [6351,] 16433.51 4493.242
## [6352,] 16443.51 4493.242
## [6353,] 16453.51 4493.242
## [6354,] 16463.51 4493.242
## [6355,] 16473.51 4493.242
## [6356,] 16483.51 4493.242
## [6357,] 16493.51 4493.242
## [6358,] 16503.51 4493.242
## [6359,] 16513.51 4493.242
## [6360,] 16523.51 4493.242
## [6361,] 16533.51 4493.242
## [6362,] 16543.51 4493.242
## [6363,] 16553.51 4493.242
## [6364,] 16563.51 4493.242
## [6365,] 16573.51 4493.242
## [6366,] 16583.51 4493.242
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## [6368,] 16603.51 4493.242
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## [6372,] 16643.51 4493.242
## [6373,] 16653.51 4493.242
## [6374,] 16663.51 4493.242
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## [6378,] 16703.51 4493.242
## [6379,] 16713.51 4493.242
## [6380,] 16723.51 4493.242
## [6381,] 16733.51 4493.242
## [6382,] 16743.51 4493.242
## [6383,] 16753.51 4493.242
## [6384,] 16763.51 4493.242
## [6385,] 16773.51 4493.242
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## [6387,] 16793.51 4493.242
## [6388,] 16803.51 4493.242
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## [6390,] 16823.51 4493.242
## [6391,] 16833.51 4493.242
## [6392,] 16843.51 4493.242
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## [6396,] 16883.51 4493.242
## [6397,] 16893.51 4493.242
## [6398,] 16903.51 4493.242
## [6399,] 16913.51 4493.242
## [6400,] 16923.51 4493.242
## [6401,] 16933.51 4493.242
## [6402,] 16943.51 4493.242
## [6403,] 16953.51 4493.242
## [6404,] 16963.51 4493.242
## [6405,] 16973.51 4493.242
## [6406,] 16983.51 4493.242
## [6407,] 16993.51 4493.242
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## [6413,] 17053.51 4493.242
## [6414,] 17063.51 4493.242
## [6415,] 17073.51 4493.242
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## [6425,] 17173.51 4493.242
## [6426,] 17183.51 4493.242
## [6427,] 17193.51 4493.242
## [6428,] 17203.51 4493.242
## [6429,] 17213.51 4493.242
## [6430,] 17223.51 4493.242
## [6431,] 17233.51 4493.242
## [6432,] 16153.51 4503.242
## [6433,] 16163.51 4503.242
## [6434,] 16173.51 4503.242
## [6435,] 16183.51 4503.242
## [6436,] 16193.51 4503.242
## [6437,] 16203.51 4503.242
## [6438,] 16213.51 4503.242
## [6439,] 16223.51 4503.242
## [6440,] 16233.51 4503.242
## [6441,] 16243.51 4503.242
## [6442,] 16253.51 4503.242
## [6443,] 16263.51 4503.242
## [6444,] 16273.51 4503.242
## [6445,] 16283.51 4503.242
## [6446,] 16293.51 4503.242
## [6447,] 16303.51 4503.242
## [6448,] 16313.51 4503.242
## [6449,] 16323.51 4503.242
## [6450,] 16333.51 4503.242
## [6451,] 16343.51 4503.242
## [6452,] 16353.51 4503.242
## [6453,] 16363.51 4503.242
## [6454,] 16373.51 4503.242
## [6455,] 16383.51 4503.242
## [6456,] 16393.51 4503.242
## [6457,] 16403.51 4503.242
## [6458,] 16413.51 4503.242
## [6459,] 16423.51 4503.242
## [6460,] 16433.51 4503.242
## [6461,] 16443.51 4503.242
## [6462,] 16453.51 4503.242
## [6463,] 16463.51 4503.242
## [6464,] 16473.51 4503.242
## [6465,] 16483.51 4503.242
## [6466,] 16493.51 4503.242
## [6467,] 16503.51 4503.242
## [6468,] 16513.51 4503.242
## [6469,] 16523.51 4503.242
## [6470,] 16533.51 4503.242
## [6471,] 16543.51 4503.242
## [6472,] 16553.51 4503.242
## [6473,] 16563.51 4503.242
## [6474,] 16573.51 4503.242
## [6475,] 16583.51 4503.242
## [6476,] 16593.51 4503.242
## [6477,] 16603.51 4503.242
## [6478,] 16613.51 4503.242
## [6479,] 16623.51 4503.242
## [6480,] 16633.51 4503.242
## [6481,] 16643.51 4503.242
## [6482,] 16653.51 4503.242
## [6483,] 16663.51 4503.242
## [6484,] 16673.51 4503.242
## [6485,] 16683.51 4503.242
## [6486,] 16693.51 4503.242
## [6487,] 16703.51 4503.242
## [6488,] 16713.51 4503.242
## [6489,] 16723.51 4503.242
## [6490,] 16733.51 4503.242
## [6491,] 16743.51 4503.242
## [6492,] 16753.51 4503.242
## [6493,] 16763.51 4503.242
## [6494,] 16773.51 4503.242
## [6495,] 16783.51 4503.242
## [6496,] 16793.51 4503.242
## [6497,] 16803.51 4503.242
## [6498,] 16813.51 4503.242
## [6499,] 16823.51 4503.242
## [6500,] 16833.51 4503.242
## [6501,] 16843.51 4503.242
## [6502,] 16853.51 4503.242
## [6503,] 16863.51 4503.242
## [6504,] 16873.51 4503.242
## [6505,] 16883.51 4503.242
## [6506,] 16893.51 4503.242
## [6507,] 16903.51 4503.242
## [6508,] 16913.51 4503.242
## [6509,] 16923.51 4503.242
## [6510,] 16933.51 4503.242
## [6511,] 16943.51 4503.242
## [6512,] 16953.51 4503.242
## [6513,] 16963.51 4503.242
## [6514,] 16973.51 4503.242
## [6515,] 16983.51 4503.242
## [6516,] 16993.51 4503.242
## [6517,] 17003.51 4503.242
## [6518,] 17013.51 4503.242
## [6519,] 17023.51 4503.242
## [6520,] 17033.51 4503.242
## [6521,] 17043.51 4503.242
## [6522,] 17053.51 4503.242
## [6523,] 17063.51 4503.242
## [6524,] 17073.51 4503.242
## [6525,] 17083.51 4503.242
## [6526,] 17093.51 4503.242
## [6527,] 17103.51 4503.242
## [6528,] 17113.51 4503.242
## [6529,] 17123.51 4503.242
## [6530,] 17133.51 4503.242
## [6531,] 17143.51 4503.242
## [6532,] 17153.51 4503.242
## [6533,] 17163.51 4503.242
## [6534,] 17173.51 4503.242
## [6535,] 17183.51 4503.242
## [6536,] 17193.51 4503.242
## [6537,] 17203.51 4503.242
## [6538,] 17213.51 4503.242
## [6539,] 17223.51 4503.242
## [6540,] 17233.51 4503.242
## [6541,] 16153.51 4513.242
## [6542,] 16163.51 4513.242
## [6543,] 16173.51 4513.242
## [6544,] 16183.51 4513.242
## [6545,] 16193.51 4513.242
## [6546,] 16203.51 4513.242
## [6547,] 16213.51 4513.242
## [6548,] 16223.51 4513.242
## [6549,] 16233.51 4513.242
## [6550,] 16243.51 4513.242
## [6551,] 16253.51 4513.242
## [6552,] 16263.51 4513.242
## [6553,] 16273.51 4513.242
## [6554,] 16283.51 4513.242
## [6555,] 16293.51 4513.242
## [6556,] 16303.51 4513.242
## [6557,] 16313.51 4513.242
## [6558,] 16323.51 4513.242
## [6559,] 16333.51 4513.242
## [6560,] 16343.51 4513.242
## [6561,] 16353.51 4513.242
## [6562,] 16363.51 4513.242
## [6563,] 16373.51 4513.242
## [6564,] 16383.51 4513.242
## [6565,] 16393.51 4513.242
## [6566,] 16403.51 4513.242
## [6567,] 16413.51 4513.242
## [6568,] 16423.51 4513.242
## [6569,] 16433.51 4513.242
## [6570,] 16443.51 4513.242
## [6571,] 16453.51 4513.242
## [6572,] 16463.51 4513.242
## [6573,] 16473.51 4513.242
## [6574,] 16483.51 4513.242
## [6575,] 16493.51 4513.242
## [6576,] 16503.51 4513.242
## [6577,] 16513.51 4513.242
## [6578,] 16523.51 4513.242
## [6579,] 16533.51 4513.242
## [6580,] 16543.51 4513.242
## [6581,] 16553.51 4513.242
## [6582,] 16563.51 4513.242
## [6583,] 16573.51 4513.242
## [6584,] 16583.51 4513.242
## [6585,] 16593.51 4513.242
## [6586,] 16603.51 4513.242
## [6587,] 16613.51 4513.242
## [6588,] 16623.51 4513.242
## [6589,] 16633.51 4513.242
## [6590,] 16643.51 4513.242
## [6591,] 16653.51 4513.242
## [6592,] 16663.51 4513.242
## [6593,] 16673.51 4513.242
## [6594,] 16683.51 4513.242
## [6595,] 16693.51 4513.242
## [6596,] 16703.51 4513.242
## [6597,] 16713.51 4513.242
## [6598,] 16723.51 4513.242
## [6599,] 16733.51 4513.242
## [6600,] 16743.51 4513.242
## [6601,] 16753.51 4513.242
## [6602,] 16763.51 4513.242
## [6603,] 16773.51 4513.242
## [6604,] 16783.51 4513.242
## [6605,] 16793.51 4513.242
## [6606,] 16803.51 4513.242
## [6607,] 16813.51 4513.242
## [6608,] 16823.51 4513.242
## [6609,] 16833.51 4513.242
## [6610,] 16843.51 4513.242
## [6611,] 16853.51 4513.242
## [6612,] 16863.51 4513.242
## [6613,] 16873.51 4513.242
## [6614,] 16883.51 4513.242
## [6615,] 16893.51 4513.242
## [6616,] 16903.51 4513.242
## [6617,] 16913.51 4513.242
## [6618,] 16923.51 4513.242
## [6619,] 16933.51 4513.242
## [6620,] 16943.51 4513.242
## [6621,] 16953.51 4513.242
## [6622,] 16963.51 4513.242
## [6623,] 16973.51 4513.242
## [6624,] 16983.51 4513.242
## [6625,] 16993.51 4513.242
## [6626,] 17003.51 4513.242
## [6627,] 17013.51 4513.242
## [6628,] 17023.51 4513.242
## [6629,] 17033.51 4513.242
## [6630,] 17043.51 4513.242
## [6631,] 17053.51 4513.242
## [6632,] 17063.51 4513.242
## [6633,] 17073.51 4513.242
## [6634,] 17083.51 4513.242
## [6635,] 17093.51 4513.242
## [6636,] 17103.51 4513.242
## [6637,] 17113.51 4513.242
## [6638,] 17123.51 4513.242
## [6639,] 17133.51 4513.242
## [6640,] 17143.51 4513.242
## [6641,] 17153.51 4513.242
## [6642,] 17163.51 4513.242
## [6643,] 17173.51 4513.242
## [6644,] 17183.51 4513.242
## [6645,] 17193.51 4513.242
## [6646,] 17203.51 4513.242
## [6647,] 17213.51 4513.242
## [6648,] 17223.51 4513.242
## [6649,] 17233.51 4513.242
## [6650,] 16153.51 4523.242
## [6651,] 16163.51 4523.242
## [6652,] 16173.51 4523.242
## [6653,] 16183.51 4523.242
## [6654,] 16193.51 4523.242
## [6655,] 16203.51 4523.242
## [6656,] 16213.51 4523.242
## [6657,] 16223.51 4523.242
## [6658,] 16233.51 4523.242
## [6659,] 16243.51 4523.242
## [6660,] 16253.51 4523.242
## [6661,] 16263.51 4523.242
## [6662,] 16273.51 4523.242
## [6663,] 16283.51 4523.242
## [6664,] 16293.51 4523.242
## [6665,] 16303.51 4523.242
## [6666,] 16313.51 4523.242
## [6667,] 16323.51 4523.242
## [6668,] 16333.51 4523.242
## [6669,] 16343.51 4523.242
## [6670,] 16353.51 4523.242
## [6671,] 16363.51 4523.242
## [6672,] 16373.51 4523.242
## [6673,] 16383.51 4523.242
## [6674,] 16393.51 4523.242
## [6675,] 16403.51 4523.242
## [6676,] 16413.51 4523.242
## [6677,] 16423.51 4523.242
## [6678,] 16433.51 4523.242
## [6679,] 16443.51 4523.242
## [6680,] 16453.51 4523.242
## [6681,] 16463.51 4523.242
## [6682,] 16473.51 4523.242
## [6683,] 16483.51 4523.242
## [6684,] 16493.51 4523.242
## [6685,] 16503.51 4523.242
## [6686,] 16513.51 4523.242
## [6687,] 16523.51 4523.242
## [6688,] 16533.51 4523.242
## [6689,] 16543.51 4523.242
## [6690,] 16553.51 4523.242
## [6691,] 16563.51 4523.242
## [6692,] 16573.51 4523.242
## [6693,] 16583.51 4523.242
## [6694,] 16593.51 4523.242
## [6695,] 16603.51 4523.242
## [6696,] 16613.51 4523.242
## [6697,] 16623.51 4523.242
## [6698,] 16633.51 4523.242
## [6699,] 16643.51 4523.242
## [6700,] 16653.51 4523.242
## [6701,] 16663.51 4523.242
## [6702,] 16673.51 4523.242
## [6703,] 16683.51 4523.242
## [6704,] 16693.51 4523.242
## [6705,] 16703.51 4523.242
## [6706,] 16713.51 4523.242
## [6707,] 16723.51 4523.242
## [6708,] 16733.51 4523.242
## [6709,] 16743.51 4523.242
## [6710,] 16753.51 4523.242
## [6711,] 16763.51 4523.242
## [6712,] 16773.51 4523.242
## [6713,] 16783.51 4523.242
## [6714,] 16793.51 4523.242
## [6715,] 16803.51 4523.242
## [6716,] 16813.51 4523.242
## [6717,] 16823.51 4523.242
## [6718,] 16833.51 4523.242
## [6719,] 16843.51 4523.242
## [6720,] 16853.51 4523.242
## [6721,] 16863.51 4523.242
## [6722,] 16873.51 4523.242
## [6723,] 16883.51 4523.242
## [6724,] 16893.51 4523.242
## [6725,] 16903.51 4523.242
## [6726,] 16913.51 4523.242
## [6727,] 16923.51 4523.242
## [6728,] 16933.51 4523.242
## [6729,] 16943.51 4523.242
## [6730,] 16953.51 4523.242
## [6731,] 16963.51 4523.242
## [6732,] 16973.51 4523.242
## [6733,] 16983.51 4523.242
## [6734,] 16993.51 4523.242
## [6735,] 17003.51 4523.242
## [6736,] 17013.51 4523.242
## [6737,] 17023.51 4523.242
## [6738,] 17033.51 4523.242
## [6739,] 17043.51 4523.242
## [6740,] 17053.51 4523.242
## [6741,] 17063.51 4523.242
## [6742,] 17073.51 4523.242
## [6743,] 17083.51 4523.242
## [6744,] 17093.51 4523.242
## [6745,] 17103.51 4523.242
## [6746,] 17113.51 4523.242
## [6747,] 17123.51 4523.242
## [6748,] 17133.51 4523.242
## [6749,] 17143.51 4523.242
## [6750,] 17153.51 4523.242
## [6751,] 17163.51 4523.242
## [6752,] 17173.51 4523.242
## [6753,] 17183.51 4523.242
## [6754,] 17193.51 4523.242
## [6755,] 17203.51 4523.242
## [6756,] 17213.51 4523.242
## [6757,] 17223.51 4523.242
## [6758,] 17233.51 4523.242
## [6759,] 16153.51 4533.242
## [6760,] 16163.51 4533.242
## [6761,] 16173.51 4533.242
## [6762,] 16183.51 4533.242
## [6763,] 16193.51 4533.242
## [6764,] 16203.51 4533.242
## [6765,] 16213.51 4533.242
## [6766,] 16223.51 4533.242
## [6767,] 16233.51 4533.242
## [6768,] 16243.51 4533.242
## [6769,] 16253.51 4533.242
## [6770,] 16263.51 4533.242
## [6771,] 16273.51 4533.242
## [6772,] 16283.51 4533.242
## [6773,] 16293.51 4533.242
## [6774,] 16303.51 4533.242
## [6775,] 16313.51 4533.242
## [6776,] 16323.51 4533.242
## [6777,] 16333.51 4533.242
## [6778,] 16343.51 4533.242
## [6779,] 16353.51 4533.242
## [6780,] 16363.51 4533.242
## [6781,] 16373.51 4533.242
## [6782,] 16383.51 4533.242
## [6783,] 16393.51 4533.242
## [6784,] 16403.51 4533.242
## [6785,] 16413.51 4533.242
## [6786,] 16423.51 4533.242
## [6787,] 16433.51 4533.242
## [6788,] 16443.51 4533.242
## [6789,] 16453.51 4533.242
## [6790,] 16463.51 4533.242
## [6791,] 16473.51 4533.242
## [6792,] 16483.51 4533.242
## [6793,] 16493.51 4533.242
## [6794,] 16503.51 4533.242
## [6795,] 16513.51 4533.242
## [6796,] 16523.51 4533.242
## [6797,] 16533.51 4533.242
## [6798,] 16543.51 4533.242
## [6799,] 16553.51 4533.242
## [6800,] 16563.51 4533.242
## [6801,] 16573.51 4533.242
## [6802,] 16583.51 4533.242
## [6803,] 16593.51 4533.242
## [6804,] 16603.51 4533.242
## [6805,] 16613.51 4533.242
## [6806,] 16623.51 4533.242
## [6807,] 16633.51 4533.242
## [6808,] 16643.51 4533.242
## [6809,] 16653.51 4533.242
## [6810,] 16663.51 4533.242
## [6811,] 16673.51 4533.242
## [6812,] 16683.51 4533.242
## [6813,] 16693.51 4533.242
## [6814,] 16703.51 4533.242
## [6815,] 16713.51 4533.242
## [6816,] 16723.51 4533.242
## [6817,] 16733.51 4533.242
## [6818,] 16743.51 4533.242
## [6819,] 16753.51 4533.242
## [6820,] 16763.51 4533.242
## [6821,] 16773.51 4533.242
## [6822,] 16783.51 4533.242
## [6823,] 16793.51 4533.242
## [6824,] 16803.51 4533.242
## [6825,] 16813.51 4533.242
## [6826,] 16823.51 4533.242
## [6827,] 16833.51 4533.242
## [6828,] 16843.51 4533.242
## [6829,] 16853.51 4533.242
## [6830,] 16863.51 4533.242
## [6831,] 16873.51 4533.242
## [6832,] 16883.51 4533.242
## [6833,] 16893.51 4533.242
## [6834,] 16903.51 4533.242
## [6835,] 16913.51 4533.242
## [6836,] 16923.51 4533.242
## [6837,] 16933.51 4533.242
## [6838,] 16943.51 4533.242
## [6839,] 16953.51 4533.242
## [6840,] 16963.51 4533.242
## [6841,] 16973.51 4533.242
## [6842,] 16983.51 4533.242
## [6843,] 16993.51 4533.242
## [6844,] 17003.51 4533.242
## [6845,] 17013.51 4533.242
## [6846,] 17023.51 4533.242
## [6847,] 17033.51 4533.242
## [6848,] 17043.51 4533.242
## [6849,] 17053.51 4533.242
## [6850,] 17063.51 4533.242
## [6851,] 17073.51 4533.242
## [6852,] 17083.51 4533.242
## [6853,] 17093.51 4533.242
## [6854,] 17103.51 4533.242
## [6855,] 17113.51 4533.242
## [6856,] 17123.51 4533.242
## [6857,] 17133.51 4533.242
## [6858,] 17143.51 4533.242
## [6859,] 17153.51 4533.242
## [6860,] 17163.51 4533.242
## [6861,] 17173.51 4533.242
## [6862,] 17183.51 4533.242
## [6863,] 17193.51 4533.242
## [6864,] 17203.51 4533.242
## [6865,] 17213.51 4533.242
## [6866,] 17223.51 4533.242
## [6867,] 17233.51 4533.242
## [6868,] 16153.51 4543.242
## [6869,] 16163.51 4543.242
## [6870,] 16173.51 4543.242
## [6871,] 16183.51 4543.242
## [6872,] 16193.51 4543.242
## [6873,] 16203.51 4543.242
## [6874,] 16213.51 4543.242
## [6875,] 16223.51 4543.242
## [6876,] 16233.51 4543.242
## [6877,] 16243.51 4543.242
## [6878,] 16253.51 4543.242
## [6879,] 16263.51 4543.242
## [6880,] 16273.51 4543.242
## [6881,] 16283.51 4543.242
## [6882,] 16293.51 4543.242
## [6883,] 16303.51 4543.242
## [6884,] 16313.51 4543.242
## [6885,] 16323.51 4543.242
## [6886,] 16333.51 4543.242
## [6887,] 16343.51 4543.242
## [6888,] 16353.51 4543.242
## [6889,] 16363.51 4543.242
## [6890,] 16373.51 4543.242
## [6891,] 16383.51 4543.242
## [6892,] 16393.51 4543.242
## [6893,] 16403.51 4543.242
## [6894,] 16413.51 4543.242
## [6895,] 16423.51 4543.242
## [6896,] 16433.51 4543.242
## [6897,] 16443.51 4543.242
## [6898,] 16453.51 4543.242
## [6899,] 16463.51 4543.242
## [6900,] 16473.51 4543.242
## [6901,] 16483.51 4543.242
## [6902,] 16493.51 4543.242
## [6903,] 16503.51 4543.242
## [6904,] 16513.51 4543.242
## [6905,] 16523.51 4543.242
## [6906,] 16533.51 4543.242
## [6907,] 16543.51 4543.242
## [6908,] 16553.51 4543.242
## [6909,] 16563.51 4543.242
## [6910,] 16573.51 4543.242
## [6911,] 16583.51 4543.242
## [6912,] 16593.51 4543.242
## [6913,] 16603.51 4543.242
## [6914,] 16613.51 4543.242
## [6915,] 16623.51 4543.242
## [6916,] 16633.51 4543.242
## [6917,] 16643.51 4543.242
## [6918,] 16653.51 4543.242
## [6919,] 16663.51 4543.242
## [6920,] 16673.51 4543.242
## [6921,] 16683.51 4543.242
## [6922,] 16693.51 4543.242
## [6923,] 16703.51 4543.242
## [6924,] 16713.51 4543.242
## [6925,] 16723.51 4543.242
## [6926,] 16733.51 4543.242
## [6927,] 16743.51 4543.242
## [6928,] 16753.51 4543.242
## [6929,] 16763.51 4543.242
## [6930,] 16773.51 4543.242
## [6931,] 16783.51 4543.242
## [6932,] 16793.51 4543.242
## [6933,] 16803.51 4543.242
## [6934,] 16813.51 4543.242
## [6935,] 16823.51 4543.242
## [6936,] 16833.51 4543.242
## [6937,] 16843.51 4543.242
## [6938,] 16853.51 4543.242
## [6939,] 16863.51 4543.242
## [6940,] 16873.51 4543.242
## [6941,] 16883.51 4543.242
## [6942,] 16893.51 4543.242
## [6943,] 16903.51 4543.242
## [6944,] 16913.51 4543.242
## [6945,] 16923.51 4543.242
## [6946,] 16933.51 4543.242
## [6947,] 16943.51 4543.242
## [6948,] 16953.51 4543.242
## [6949,] 16963.51 4543.242
## [6950,] 16973.51 4543.242
## [6951,] 16983.51 4543.242
## [6952,] 16993.51 4543.242
## [6953,] 17003.51 4543.242
## [6954,] 17013.51 4543.242
## [6955,] 17023.51 4543.242
## [6956,] 17033.51 4543.242
## [6957,] 17043.51 4543.242
## [6958,] 17053.51 4543.242
## [6959,] 17063.51 4543.242
## [6960,] 17073.51 4543.242
## [6961,] 17083.51 4543.242
## [6962,] 17093.51 4543.242
## [6963,] 17103.51 4543.242
## [6964,] 17113.51 4543.242
## [6965,] 17123.51 4543.242
## [6966,] 17133.51 4543.242
## [6967,] 17143.51 4543.242
## [6968,] 17153.51 4543.242
## [6969,] 17163.51 4543.242
## [6970,] 17173.51 4543.242
## [6971,] 17183.51 4543.242
## [6972,] 17193.51 4543.242
## [6973,] 17203.51 4543.242
## [6974,] 17213.51 4543.242
## [6975,] 17223.51 4543.242
## [6976,] 17233.51 4543.242
## [6977,] 16153.51 4553.242
## [6978,] 16163.51 4553.242
## [6979,] 16173.51 4553.242
## [6980,] 16183.51 4553.242
## [6981,] 16193.51 4553.242
## [6982,] 16203.51 4553.242
## [6983,] 16213.51 4553.242
## [6984,] 16223.51 4553.242
## [6985,] 16233.51 4553.242
## [6986,] 16243.51 4553.242
## [6987,] 16253.51 4553.242
## [6988,] 16263.51 4553.242
## [6989,] 16273.51 4553.242
## [6990,] 16283.51 4553.242
## [6991,] 16293.51 4553.242
## [6992,] 16303.51 4553.242
## [6993,] 16313.51 4553.242
## [6994,] 16323.51 4553.242
## [6995,] 16333.51 4553.242
## [6996,] 16343.51 4553.242
## [6997,] 16353.51 4553.242
## [6998,] 16363.51 4553.242
## [6999,] 16373.51 4553.242
## [7000,] 16383.51 4553.242
## [7001,] 16393.51 4553.242
## [7002,] 16403.51 4553.242
## [7003,] 16413.51 4553.242
## [7004,] 16423.51 4553.242
## [7005,] 16433.51 4553.242
## [7006,] 16443.51 4553.242
## [7007,] 16453.51 4553.242
## [7008,] 16463.51 4553.242
## [7009,] 16473.51 4553.242
## [7010,] 16483.51 4553.242
## [7011,] 16493.51 4553.242
## [7012,] 16503.51 4553.242
## [7013,] 16513.51 4553.242
## [7014,] 16523.51 4553.242
## [7015,] 16533.51 4553.242
## [7016,] 16543.51 4553.242
## [7017,] 16553.51 4553.242
## [7018,] 16563.51 4553.242
## [7019,] 16573.51 4553.242
## [7020,] 16583.51 4553.242
## [7021,] 16593.51 4553.242
## [7022,] 16603.51 4553.242
## [7023,] 16613.51 4553.242
## [7024,] 16623.51 4553.242
## [7025,] 16633.51 4553.242
## [7026,] 16643.51 4553.242
## [7027,] 16653.51 4553.242
## [7028,] 16663.51 4553.242
## [7029,] 16673.51 4553.242
## [7030,] 16683.51 4553.242
## [7031,] 16693.51 4553.242
## [7032,] 16703.51 4553.242
## [7033,] 16713.51 4553.242
## [7034,] 16723.51 4553.242
## [7035,] 16733.51 4553.242
## [7036,] 16743.51 4553.242
## [7037,] 16753.51 4553.242
## [7038,] 16763.51 4553.242
## [7039,] 16773.51 4553.242
## [7040,] 16783.51 4553.242
## [7041,] 16793.51 4553.242
## [7042,] 16803.51 4553.242
## [7043,] 16813.51 4553.242
## [7044,] 16823.51 4553.242
## [7045,] 16833.51 4553.242
## [7046,] 16843.51 4553.242
## [7047,] 16853.51 4553.242
## [7048,] 16863.51 4553.242
## [7049,] 16873.51 4553.242
## [7050,] 16883.51 4553.242
## [7051,] 16893.51 4553.242
## [7052,] 16903.51 4553.242
## [7053,] 16913.51 4553.242
## [7054,] 16923.51 4553.242
## [7055,] 16933.51 4553.242
## [7056,] 16943.51 4553.242
## [7057,] 16953.51 4553.242
## [7058,] 16963.51 4553.242
## [7059,] 16973.51 4553.242
## [7060,] 16983.51 4553.242
## [7061,] 16993.51 4553.242
## [7062,] 17003.51 4553.242
## [7063,] 17013.51 4553.242
## [7064,] 17023.51 4553.242
## [7065,] 17033.51 4553.242
## [7066,] 17043.51 4553.242
## [7067,] 17053.51 4553.242
## [7068,] 17063.51 4553.242
## [7069,] 17073.51 4553.242
## [7070,] 17083.51 4553.242
## [7071,] 17093.51 4553.242
## [7072,] 17103.51 4553.242
## [7073,] 17113.51 4553.242
## [7074,] 17123.51 4553.242
## [7075,] 17133.51 4553.242
## [7076,] 17143.51 4553.242
## [7077,] 17153.51 4553.242
## [7078,] 17163.51 4553.242
## [7079,] 17173.51 4553.242
## [7080,] 17183.51 4553.242
## [7081,] 17193.51 4553.242
## [7082,] 17203.51 4553.242
## [7083,] 17213.51 4553.242
## [7084,] 17223.51 4553.242
## [7085,] 17233.51 4553.242
## [7086,] 16153.51 4563.242
## [7087,] 16163.51 4563.242
## [7088,] 16173.51 4563.242
## [7089,] 16183.51 4563.242
## [7090,] 16193.51 4563.242
## [7091,] 16203.51 4563.242
## [7092,] 16213.51 4563.242
## [7093,] 16223.51 4563.242
## [7094,] 16233.51 4563.242
## [7095,] 16243.51 4563.242
## [7096,] 16253.51 4563.242
## [7097,] 16263.51 4563.242
## [7098,] 16273.51 4563.242
## [7099,] 16283.51 4563.242
## [7100,] 16293.51 4563.242
## [7101,] 16303.51 4563.242
## [7102,] 16313.51 4563.242
## [7103,] 16323.51 4563.242
## [7104,] 16333.51 4563.242
## [7105,] 16343.51 4563.242
## [7106,] 16353.51 4563.242
## [7107,] 16363.51 4563.242
## [7108,] 16373.51 4563.242
## [7109,] 16383.51 4563.242
## [7110,] 16393.51 4563.242
## [7111,] 16403.51 4563.242
## [7112,] 16413.51 4563.242
## [7113,] 16423.51 4563.242
## [7114,] 16433.51 4563.242
## [7115,] 16443.51 4563.242
## [7116,] 16453.51 4563.242
## [7117,] 16463.51 4563.242
## [7118,] 16473.51 4563.242
## [7119,] 16483.51 4563.242
## [7120,] 16493.51 4563.242
## [7121,] 16503.51 4563.242
## [7122,] 16513.51 4563.242
## [7123,] 16523.51 4563.242
## [7124,] 16533.51 4563.242
## [7125,] 16543.51 4563.242
## [7126,] 16553.51 4563.242
## [7127,] 16563.51 4563.242
## [7128,] 16573.51 4563.242
## [7129,] 16583.51 4563.242
## [7130,] 16593.51 4563.242
## [7131,] 16603.51 4563.242
## [7132,] 16613.51 4563.242
## [7133,] 16623.51 4563.242
## [7134,] 16633.51 4563.242
## [7135,] 16643.51 4563.242
## [7136,] 16653.51 4563.242
## [7137,] 16663.51 4563.242
## [7138,] 16673.51 4563.242
## [7139,] 16683.51 4563.242
## [7140,] 16693.51 4563.242
## [7141,] 16703.51 4563.242
## [7142,] 16713.51 4563.242
## [7143,] 16723.51 4563.242
## [7144,] 16733.51 4563.242
## [7145,] 16743.51 4563.242
## [7146,] 16753.51 4563.242
## [7147,] 16763.51 4563.242
## [7148,] 16773.51 4563.242
## [7149,] 16783.51 4563.242
## [7150,] 16793.51 4563.242
## [7151,] 16803.51 4563.242
## [7152,] 16813.51 4563.242
## [7153,] 16823.51 4563.242
## [7154,] 16833.51 4563.242
## [7155,] 16843.51 4563.242
## [7156,] 16853.51 4563.242
## [7157,] 16863.51 4563.242
## [7158,] 16873.51 4563.242
## [7159,] 16883.51 4563.242
## [7160,] 16893.51 4563.242
## [7161,] 16903.51 4563.242
## [7162,] 16913.51 4563.242
## [7163,] 16923.51 4563.242
## [7164,] 16933.51 4563.242
## [7165,] 16943.51 4563.242
## [7166,] 16953.51 4563.242
## [7167,] 16963.51 4563.242
## [7168,] 16973.51 4563.242
## [7169,] 16983.51 4563.242
## [7170,] 16993.51 4563.242
## [7171,] 17003.51 4563.242
## [7172,] 17013.51 4563.242
## [7173,] 17023.51 4563.242
## [7174,] 17033.51 4563.242
## [7175,] 17043.51 4563.242
## [7176,] 17053.51 4563.242
## [7177,] 17063.51 4563.242
## [7178,] 17073.51 4563.242
## [7179,] 17083.51 4563.242
## [7180,] 17093.51 4563.242
## [7181,] 17103.51 4563.242
## [7182,] 17113.51 4563.242
## [7183,] 17123.51 4563.242
## [7184,] 17133.51 4563.242
## [7185,] 17143.51 4563.242
## [7186,] 17153.51 4563.242
## [7187,] 17163.51 4563.242
## [7188,] 17173.51 4563.242
## [7189,] 17183.51 4563.242
## [7190,] 17193.51 4563.242
## [7191,] 17203.51 4563.242
## [7192,] 17213.51 4563.242
## [7193,] 17223.51 4563.242
## [7194,] 17233.51 4563.242
## [7195,] 16153.51 4573.242
## [7196,] 16163.51 4573.242
## [7197,] 16173.51 4573.242
## [7198,] 16183.51 4573.242
## [7199,] 16193.51 4573.242
## [7200,] 16203.51 4573.242
## [7201,] 16213.51 4573.242
## [7202,] 16223.51 4573.242
## [7203,] 16233.51 4573.242
## [7204,] 16243.51 4573.242
## [7205,] 16253.51 4573.242
## [7206,] 16263.51 4573.242
## [7207,] 16273.51 4573.242
## [7208,] 16283.51 4573.242
## [7209,] 16293.51 4573.242
## [7210,] 16303.51 4573.242
## [7211,] 16313.51 4573.242
## [7212,] 16323.51 4573.242
## [7213,] 16333.51 4573.242
## [7214,] 16343.51 4573.242
## [7215,] 16353.51 4573.242
## [7216,] 16363.51 4573.242
## [7217,] 16373.51 4573.242
## [7218,] 16383.51 4573.242
## [7219,] 16393.51 4573.242
## [7220,] 16403.51 4573.242
## [7221,] 16413.51 4573.242
## [7222,] 16423.51 4573.242
## [7223,] 16433.51 4573.242
## [7224,] 16443.51 4573.242
## [7225,] 16453.51 4573.242
## [7226,] 16463.51 4573.242
## [7227,] 16473.51 4573.242
## [7228,] 16483.51 4573.242
## [7229,] 16493.51 4573.242
## [7230,] 16503.51 4573.242
## [7231,] 16513.51 4573.242
## [7232,] 16523.51 4573.242
## [7233,] 16533.51 4573.242
## [7234,] 16543.51 4573.242
## [7235,] 16553.51 4573.242
## [7236,] 16563.51 4573.242
## [7237,] 16573.51 4573.242
## [7238,] 16583.51 4573.242
## [7239,] 16593.51 4573.242
## [7240,] 16603.51 4573.242
## [7241,] 16613.51 4573.242
## [7242,] 16623.51 4573.242
## [7243,] 16633.51 4573.242
## [7244,] 16643.51 4573.242
## [7245,] 16653.51 4573.242
## [7246,] 16663.51 4573.242
## [7247,] 16673.51 4573.242
## [7248,] 16683.51 4573.242
## [7249,] 16693.51 4573.242
## [7250,] 16703.51 4573.242
## [7251,] 16713.51 4573.242
## [7252,] 16723.51 4573.242
## [7253,] 16733.51 4573.242
## [7254,] 16743.51 4573.242
## [7255,] 16753.51 4573.242
## [7256,] 16763.51 4573.242
## [7257,] 16773.51 4573.242
## [7258,] 16783.51 4573.242
## [7259,] 16793.51 4573.242
## [7260,] 16803.51 4573.242
## [7261,] 16813.51 4573.242
## [7262,] 16823.51 4573.242
## [7263,] 16833.51 4573.242
## [7264,] 16843.51 4573.242
## [7265,] 16853.51 4573.242
## [7266,] 16863.51 4573.242
## [7267,] 16873.51 4573.242
## [7268,] 16883.51 4573.242
## [7269,] 16893.51 4573.242
## [7270,] 16903.51 4573.242
## [7271,] 16913.51 4573.242
## [7272,] 16923.51 4573.242
## [7273,] 16933.51 4573.242
## [7274,] 16943.51 4573.242
## [7275,] 16953.51 4573.242
## [7276,] 16963.51 4573.242
## [7277,] 16973.51 4573.242
## [7278,] 16983.51 4573.242
## [7279,] 16993.51 4573.242
## [7280,] 17003.51 4573.242
## [7281,] 17013.51 4573.242
## [7282,] 17023.51 4573.242
## [7283,] 17033.51 4573.242
## [7284,] 17043.51 4573.242
## [7285,] 17053.51 4573.242
## [7286,] 17063.51 4573.242
## [7287,] 17073.51 4573.242
## [7288,] 17083.51 4573.242
## [7289,] 17093.51 4573.242
## [7290,] 17103.51 4573.242
## [7291,] 17113.51 4573.242
## [7292,] 17123.51 4573.242
## [7293,] 17133.51 4573.242
## [7294,] 17143.51 4573.242
## [7295,] 17153.51 4573.242
## [7296,] 17163.51 4573.242
## [7297,] 17173.51 4573.242
## [7298,] 17183.51 4573.242
## [7299,] 17193.51 4573.242
## [7300,] 17203.51 4573.242
## [7301,] 17213.51 4573.242
## [7302,] 17223.51 4573.242
## [7303,] 17233.51 4573.242
## [7304,] 16153.51 4583.242
## [7305,] 16163.51 4583.242
## [7306,] 16173.51 4583.242
## [7307,] 16183.51 4583.242
## [7308,] 16193.51 4583.242
## [7309,] 16203.51 4583.242
## [7310,] 16213.51 4583.242
## [7311,] 16223.51 4583.242
## [7312,] 16233.51 4583.242
## [7313,] 16243.51 4583.242
## [7314,] 16253.51 4583.242
## [7315,] 16263.51 4583.242
## [7316,] 16273.51 4583.242
## [7317,] 16283.51 4583.242
## [7318,] 16293.51 4583.242
## [7319,] 16303.51 4583.242
## [7320,] 16313.51 4583.242
## [7321,] 16323.51 4583.242
## [7322,] 16333.51 4583.242
## [7323,] 16343.51 4583.242
## [7324,] 16353.51 4583.242
## [7325,] 16363.51 4583.242
## [7326,] 16373.51 4583.242
## [7327,] 16383.51 4583.242
## [7328,] 16393.51 4583.242
## [7329,] 16403.51 4583.242
## [7330,] 16413.51 4583.242
## [7331,] 16423.51 4583.242
## [7332,] 16433.51 4583.242
## [7333,] 16443.51 4583.242
## [7334,] 16453.51 4583.242
## [7335,] 16463.51 4583.242
## [7336,] 16473.51 4583.242
## [7337,] 16483.51 4583.242
## [7338,] 16493.51 4583.242
## [7339,] 16503.51 4583.242
## [7340,] 16513.51 4583.242
## [7341,] 16523.51 4583.242
## [7342,] 16533.51 4583.242
## [7343,] 16543.51 4583.242
## [7344,] 16553.51 4583.242
## [7345,] 16563.51 4583.242
## [7346,] 16573.51 4583.242
## [7347,] 16583.51 4583.242
## [7348,] 16593.51 4583.242
## [7349,] 16603.51 4583.242
## [7350,] 16613.51 4583.242
## [7351,] 16623.51 4583.242
## [7352,] 16633.51 4583.242
## [7353,] 16643.51 4583.242
## [7354,] 16653.51 4583.242
## [7355,] 16663.51 4583.242
## [7356,] 16673.51 4583.242
## [7357,] 16683.51 4583.242
## [7358,] 16693.51 4583.242
## [7359,] 16703.51 4583.242
## [7360,] 16713.51 4583.242
## [7361,] 16723.51 4583.242
## [7362,] 16733.51 4583.242
## [7363,] 16743.51 4583.242
## [7364,] 16753.51 4583.242
## [7365,] 16763.51 4583.242
## [7366,] 16773.51 4583.242
## [7367,] 16783.51 4583.242
## [7368,] 16793.51 4583.242
## [7369,] 16803.51 4583.242
## [7370,] 16813.51 4583.242
## [7371,] 16823.51 4583.242
## [7372,] 16833.51 4583.242
## [7373,] 16843.51 4583.242
## [7374,] 16853.51 4583.242
## [7375,] 16863.51 4583.242
## [7376,] 16873.51 4583.242
## [7377,] 16883.51 4583.242
## [7378,] 16893.51 4583.242
## [7379,] 16903.51 4583.242
## [7380,] 16913.51 4583.242
## [7381,] 16923.51 4583.242
## [7382,] 16933.51 4583.242
## [7383,] 16943.51 4583.242
## [7384,] 16953.51 4583.242
## [7385,] 16963.51 4583.242
## [7386,] 16973.51 4583.242
## [7387,] 16983.51 4583.242
## [7388,] 16993.51 4583.242
## [7389,] 17003.51 4583.242
## [7390,] 17013.51 4583.242
## [7391,] 17023.51 4583.242
## [7392,] 17033.51 4583.242
## [7393,] 17043.51 4583.242
## [7394,] 17053.51 4583.242
## [7395,] 17063.51 4583.242
## [7396,] 17073.51 4583.242
## [7397,] 17083.51 4583.242
## [7398,] 17093.51 4583.242
## [7399,] 17103.51 4583.242
## [7400,] 17113.51 4583.242
## [7401,] 17123.51 4583.242
## [7402,] 17133.51 4583.242
## [7403,] 17143.51 4583.242
## [7404,] 17153.51 4583.242
## [7405,] 17163.51 4583.242
## [7406,] 17173.51 4583.242
## [7407,] 17183.51 4583.242
## [7408,] 17193.51 4583.242
## [7409,] 17203.51 4583.242
## [7410,] 17213.51 4583.242
## [7411,] 17223.51 4583.242
## [7412,] 17233.51 4583.242
## [7413,] 16153.51 4593.242
## [7414,] 16163.51 4593.242
## [7415,] 16173.51 4593.242
## [7416,] 16183.51 4593.242
## [7417,] 16193.51 4593.242
## [7418,] 16203.51 4593.242
## [7419,] 16213.51 4593.242
## [7420,] 16223.51 4593.242
## [7421,] 16233.51 4593.242
## [7422,] 16243.51 4593.242
## [7423,] 16253.51 4593.242
## [7424,] 16263.51 4593.242
## [7425,] 16273.51 4593.242
## [7426,] 16283.51 4593.242
## [7427,] 16293.51 4593.242
## [7428,] 16303.51 4593.242
## [7429,] 16313.51 4593.242
## [7430,] 16323.51 4593.242
## [7431,] 16333.51 4593.242
## [7432,] 16343.51 4593.242
## [7433,] 16353.51 4593.242
## [7434,] 16363.51 4593.242
## [7435,] 16373.51 4593.242
## [7436,] 16383.51 4593.242
## [7437,] 16393.51 4593.242
## [7438,] 16403.51 4593.242
## [7439,] 16413.51 4593.242
## [7440,] 16423.51 4593.242
## [7441,] 16433.51 4593.242
## [7442,] 16443.51 4593.242
## [7443,] 16453.51 4593.242
## [7444,] 16463.51 4593.242
## [7445,] 16473.51 4593.242
## [7446,] 16483.51 4593.242
## [7447,] 16493.51 4593.242
## [7448,] 16503.51 4593.242
## [7449,] 16513.51 4593.242
## [7450,] 16523.51 4593.242
## [7451,] 16533.51 4593.242
## [7452,] 16543.51 4593.242
## [7453,] 16553.51 4593.242
## [7454,] 16563.51 4593.242
## [7455,] 16573.51 4593.242
## [7456,] 16583.51 4593.242
## [7457,] 16593.51 4593.242
## [7458,] 16603.51 4593.242
## [7459,] 16613.51 4593.242
## [7460,] 16623.51 4593.242
## [7461,] 16633.51 4593.242
## [7462,] 16643.51 4593.242
## [7463,] 16653.51 4593.242
## [7464,] 16663.51 4593.242
## [7465,] 16673.51 4593.242
## [7466,] 16683.51 4593.242
## [7467,] 16693.51 4593.242
## [7468,] 16703.51 4593.242
## [7469,] 16713.51 4593.242
## [7470,] 16723.51 4593.242
## [7471,] 16733.51 4593.242
## [7472,] 16743.51 4593.242
## [7473,] 16753.51 4593.242
## [7474,] 16763.51 4593.242
## [7475,] 16773.51 4593.242
## [7476,] 16783.51 4593.242
## [7477,] 16793.51 4593.242
## [7478,] 16803.51 4593.242
## [7479,] 16813.51 4593.242
## [7480,] 16823.51 4593.242
## [7481,] 16833.51 4593.242
## [7482,] 16843.51 4593.242
## [7483,] 16853.51 4593.242
## [7484,] 16863.51 4593.242
## [7485,] 16873.51 4593.242
## [7486,] 16883.51 4593.242
## [7487,] 16893.51 4593.242
## [7488,] 16903.51 4593.242
## [7489,] 16913.51 4593.242
## [7490,] 16923.51 4593.242
## [7491,] 16933.51 4593.242
## [7492,] 16943.51 4593.242
## [7493,] 16953.51 4593.242
## [7494,] 16963.51 4593.242
## [7495,] 16973.51 4593.242
## [7496,] 16983.51 4593.242
## [7497,] 16993.51 4593.242
## [7498,] 17003.51 4593.242
## [7499,] 17013.51 4593.242
## [7500,] 17023.51 4593.242
## [7501,] 17033.51 4593.242
## [7502,] 17043.51 4593.242
## [7503,] 17053.51 4593.242
## [7504,] 17063.51 4593.242
## [7505,] 17073.51 4593.242
## [7506,] 17083.51 4593.242
## [7507,] 17093.51 4593.242
## [7508,] 17103.51 4593.242
## [7509,] 17113.51 4593.242
## [7510,] 17123.51 4593.242
## [7511,] 17133.51 4593.242
## [7512,] 17143.51 4593.242
## [7513,] 17153.51 4593.242
## [7514,] 17163.51 4593.242
## [7515,] 17173.51 4593.242
## [7516,] 17183.51 4593.242
## [7517,] 17193.51 4593.242
## [7518,] 17203.51 4593.242
## [7519,] 17213.51 4593.242
## [7520,] 17223.51 4593.242
## [7521,] 17233.51 4593.242
## [7522,] 16153.51 4603.242
## [7523,] 16163.51 4603.242
## [7524,] 16173.51 4603.242
## [7525,] 16183.51 4603.242
## [7526,] 16193.51 4603.242
## [7527,] 16203.51 4603.242
## [7528,] 16213.51 4603.242
## [7529,] 16223.51 4603.242
## [7530,] 16233.51 4603.242
## [7531,] 16243.51 4603.242
## [7532,] 16253.51 4603.242
## [7533,] 16263.51 4603.242
## [7534,] 16273.51 4603.242
## [7535,] 16283.51 4603.242
## [7536,] 16293.51 4603.242
## [7537,] 16303.51 4603.242
## [7538,] 16313.51 4603.242
## [7539,] 16323.51 4603.242
## [7540,] 16333.51 4603.242
## [7541,] 16343.51 4603.242
## [7542,] 16353.51 4603.242
## [7543,] 16363.51 4603.242
## [7544,] 16373.51 4603.242
## [7545,] 16383.51 4603.242
## [7546,] 16393.51 4603.242
## [7547,] 16403.51 4603.242
## [7548,] 16413.51 4603.242
## [7549,] 16423.51 4603.242
## [7550,] 16433.51 4603.242
## [7551,] 16443.51 4603.242
## [7552,] 16453.51 4603.242
## [7553,] 16463.51 4603.242
## [7554,] 16473.51 4603.242
## [7555,] 16483.51 4603.242
## [7556,] 16493.51 4603.242
## [7557,] 16503.51 4603.242
## [7558,] 16513.51 4603.242
## [7559,] 16523.51 4603.242
## [7560,] 16533.51 4603.242
## [7561,] 16543.51 4603.242
## [7562,] 16553.51 4603.242
## [7563,] 16563.51 4603.242
## [7564,] 16573.51 4603.242
## [7565,] 16583.51 4603.242
## [7566,] 16593.51 4603.242
## [7567,] 16603.51 4603.242
## [7568,] 16613.51 4603.242
## [7569,] 16623.51 4603.242
## [7570,] 16633.51 4603.242
## [7571,] 16643.51 4603.242
## [7572,] 16653.51 4603.242
## [7573,] 16663.51 4603.242
## [7574,] 16673.51 4603.242
## [7575,] 16683.51 4603.242
## [7576,] 16693.51 4603.242
## [7577,] 16703.51 4603.242
## [7578,] 16713.51 4603.242
## [7579,] 16723.51 4603.242
## [7580,] 16733.51 4603.242
## [7581,] 16743.51 4603.242
## [7582,] 16753.51 4603.242
## [7583,] 16763.51 4603.242
## [7584,] 16773.51 4603.242
## [7585,] 16783.51 4603.242
## [7586,] 16793.51 4603.242
## [7587,] 16803.51 4603.242
## [7588,] 16813.51 4603.242
## [7589,] 16823.51 4603.242
## [7590,] 16833.51 4603.242
## [7591,] 16843.51 4603.242
## [7592,] 16853.51 4603.242
## [7593,] 16863.51 4603.242
## [7594,] 16873.51 4603.242
## [7595,] 16883.51 4603.242
## [7596,] 16893.51 4603.242
## [7597,] 16903.51 4603.242
## [7598,] 16913.51 4603.242
## [7599,] 16923.51 4603.242
## [7600,] 16933.51 4603.242
## [7601,] 16943.51 4603.242
## [7602,] 16953.51 4603.242
## [7603,] 16963.51 4603.242
## [7604,] 16973.51 4603.242
## [7605,] 16983.51 4603.242
## [7606,] 16993.51 4603.242
## [7607,] 17003.51 4603.242
## [7608,] 17013.51 4603.242
## [7609,] 17023.51 4603.242
## [7610,] 17033.51 4603.242
## [7611,] 17043.51 4603.242
## [7612,] 17053.51 4603.242
## [7613,] 17063.51 4603.242
## [7614,] 17073.51 4603.242
## [7615,] 17083.51 4603.242
## [7616,] 17093.51 4603.242
## [7617,] 17103.51 4603.242
## [7618,] 17113.51 4603.242
## [7619,] 17123.51 4603.242
## [7620,] 17133.51 4603.242
## [7621,] 17143.51 4603.242
## [7622,] 17153.51 4603.242
## [7623,] 17163.51 4603.242
## [7624,] 17173.51 4603.242
## [7625,] 17183.51 4603.242
## [7626,] 17193.51 4603.242
## [7627,] 17203.51 4603.242
## [7628,] 17213.51 4603.242
## [7629,] 17223.51 4603.242
## [7630,] 17233.51 4603.242
## [7631,] 16153.51 4613.242
## [7632,] 16163.51 4613.242
## [7633,] 16173.51 4613.242
## [7634,] 16183.51 4613.242
## [7635,] 16193.51 4613.242
## [7636,] 16203.51 4613.242
## [7637,] 16213.51 4613.242
## [7638,] 16223.51 4613.242
## [7639,] 16233.51 4613.242
## [7640,] 16243.51 4613.242
## [7641,] 16253.51 4613.242
## [7642,] 16263.51 4613.242
## [7643,] 16273.51 4613.242
## [7644,] 16283.51 4613.242
## [7645,] 16293.51 4613.242
## [7646,] 16303.51 4613.242
## [7647,] 16313.51 4613.242
## [7648,] 16323.51 4613.242
## [7649,] 16333.51 4613.242
## [7650,] 16343.51 4613.242
## [7651,] 16353.51 4613.242
## [7652,] 16363.51 4613.242
## [7653,] 16373.51 4613.242
## [7654,] 16383.51 4613.242
## [7655,] 16393.51 4613.242
## [7656,] 16403.51 4613.242
## [7657,] 16413.51 4613.242
## [7658,] 16423.51 4613.242
## [7659,] 16433.51 4613.242
## [7660,] 16443.51 4613.242
## [7661,] 16453.51 4613.242
## [7662,] 16463.51 4613.242
## [7663,] 16473.51 4613.242
## [7664,] 16483.51 4613.242
## [7665,] 16493.51 4613.242
## [7666,] 16503.51 4613.242
## [7667,] 16513.51 4613.242
## [7668,] 16523.51 4613.242
## [7669,] 16533.51 4613.242
## [7670,] 16543.51 4613.242
## [7671,] 16553.51 4613.242
## [7672,] 16563.51 4613.242
## [7673,] 16573.51 4613.242
## [7674,] 16583.51 4613.242
## [7675,] 16593.51 4613.242
## [7676,] 16603.51 4613.242
## [7677,] 16613.51 4613.242
## [7678,] 16623.51 4613.242
## [7679,] 16633.51 4613.242
## [7680,] 16643.51 4613.242
## [7681,] 16653.51 4613.242
## [7682,] 16663.51 4613.242
## [7683,] 16673.51 4613.242
## [7684,] 16683.51 4613.242
## [7685,] 16693.51 4613.242
## [7686,] 16703.51 4613.242
## [7687,] 16713.51 4613.242
## [7688,] 16723.51 4613.242
## [7689,] 16733.51 4613.242
## [7690,] 16743.51 4613.242
## [7691,] 16753.51 4613.242
## [7692,] 16763.51 4613.242
## [7693,] 16773.51 4613.242
## [7694,] 16783.51 4613.242
## [7695,] 16793.51 4613.242
## [7696,] 16803.51 4613.242
## [7697,] 16813.51 4613.242
## [7698,] 16823.51 4613.242
## [7699,] 16833.51 4613.242
## [7700,] 16843.51 4613.242
## [7701,] 16853.51 4613.242
## [7702,] 16863.51 4613.242
## [7703,] 16873.51 4613.242
## [7704,] 16883.51 4613.242
## [7705,] 16893.51 4613.242
## [7706,] 16903.51 4613.242
## [7707,] 16913.51 4613.242
## [7708,] 16923.51 4613.242
## [7709,] 16933.51 4613.242
## [7710,] 16943.51 4613.242
## [7711,] 16953.51 4613.242
## [7712,] 16963.51 4613.242
## [7713,] 16973.51 4613.242
## [7714,] 16983.51 4613.242
## [7715,] 16993.51 4613.242
## [7716,] 17003.51 4613.242
## [7717,] 17013.51 4613.242
## [7718,] 17023.51 4613.242
## [7719,] 17033.51 4613.242
## [7720,] 17043.51 4613.242
## [7721,] 17053.51 4613.242
## [7722,] 17063.51 4613.242
## [7723,] 17073.51 4613.242
## [7724,] 17083.51 4613.242
## [7725,] 17093.51 4613.242
## [7726,] 17103.51 4613.242
## [7727,] 17113.51 4613.242
## [7728,] 17123.51 4613.242
## [7729,] 17133.51 4613.242
## [7730,] 17143.51 4613.242
## [7731,] 17153.51 4613.242
## [7732,] 17163.51 4613.242
## [7733,] 17173.51 4613.242
## [7734,] 17183.51 4613.242
## [7735,] 17193.51 4613.242
## [7736,] 17203.51 4613.242
## [7737,] 17213.51 4613.242
## [7738,] 17223.51 4613.242
## [7739,] 17233.51 4613.242
## [7740,] 16153.51 4623.242
## [7741,] 16163.51 4623.242
## [7742,] 16173.51 4623.242
## [7743,] 16183.51 4623.242
## [7744,] 16193.51 4623.242
## [7745,] 16203.51 4623.242
## [7746,] 16213.51 4623.242
## [7747,] 16223.51 4623.242
## [7748,] 16233.51 4623.242
## [7749,] 16243.51 4623.242
## [7750,] 16253.51 4623.242
## [7751,] 16263.51 4623.242
## [7752,] 16273.51 4623.242
## [7753,] 16283.51 4623.242
## [7754,] 16293.51 4623.242
## [7755,] 16303.51 4623.242
## [7756,] 16313.51 4623.242
## [7757,] 16323.51 4623.242
## [7758,] 16333.51 4623.242
## [7759,] 16343.51 4623.242
## [7760,] 16353.51 4623.242
## [7761,] 16363.51 4623.242
## [7762,] 16373.51 4623.242
## [7763,] 16383.51 4623.242
## [7764,] 16393.51 4623.242
## [7765,] 16403.51 4623.242
## [7766,] 16413.51 4623.242
## [7767,] 16423.51 4623.242
## [7768,] 16433.51 4623.242
## [7769,] 16443.51 4623.242
## [7770,] 16453.51 4623.242
## [7771,] 16463.51 4623.242
## [7772,] 16473.51 4623.242
## [7773,] 16483.51 4623.242
## [7774,] 16493.51 4623.242
## [7775,] 16503.51 4623.242
## [7776,] 16513.51 4623.242
## [7777,] 16523.51 4623.242
## [7778,] 16533.51 4623.242
## [7779,] 16543.51 4623.242
## [7780,] 16553.51 4623.242
## [7781,] 16563.51 4623.242
## [7782,] 16573.51 4623.242
## [7783,] 16583.51 4623.242
## [7784,] 16593.51 4623.242
## [7785,] 16603.51 4623.242
## [7786,] 16613.51 4623.242
## [7787,] 16623.51 4623.242
## [7788,] 16633.51 4623.242
## [7789,] 16643.51 4623.242
## [7790,] 16653.51 4623.242
## [7791,] 16663.51 4623.242
## [7792,] 16673.51 4623.242
## [7793,] 16683.51 4623.242
## [7794,] 16693.51 4623.242
## [7795,] 16703.51 4623.242
## [7796,] 16713.51 4623.242
## [7797,] 16723.51 4623.242
## [7798,] 16733.51 4623.242
## [7799,] 16743.51 4623.242
## [7800,] 16753.51 4623.242
## [7801,] 16763.51 4623.242
## [7802,] 16773.51 4623.242
## [7803,] 16783.51 4623.242
## [7804,] 16793.51 4623.242
## [7805,] 16803.51 4623.242
## [7806,] 16813.51 4623.242
## [7807,] 16823.51 4623.242
## [7808,] 16833.51 4623.242
## [7809,] 16843.51 4623.242
## [7810,] 16853.51 4623.242
## [7811,] 16863.51 4623.242
## [7812,] 16873.51 4623.242
## [7813,] 16883.51 4623.242
## [7814,] 16893.51 4623.242
## [7815,] 16903.51 4623.242
## [7816,] 16913.51 4623.242
## [7817,] 16923.51 4623.242
## [7818,] 16933.51 4623.242
## [7819,] 16943.51 4623.242
## [7820,] 16953.51 4623.242
## [7821,] 16963.51 4623.242
## [7822,] 16973.51 4623.242
## [7823,] 16983.51 4623.242
## [7824,] 16993.51 4623.242
## [7825,] 17003.51 4623.242
## [7826,] 17013.51 4623.242
## [7827,] 17023.51 4623.242
## [7828,] 17033.51 4623.242
## [7829,] 17043.51 4623.242
## [7830,] 17053.51 4623.242
## [7831,] 17063.51 4623.242
## [7832,] 17073.51 4623.242
## [7833,] 17083.51 4623.242
## [7834,] 17093.51 4623.242
## [7835,] 17103.51 4623.242
## [7836,] 17113.51 4623.242
## [7837,] 17123.51 4623.242
## [7838,] 17133.51 4623.242
## [7839,] 17143.51 4623.242
## [7840,] 17153.51 4623.242
## [7841,] 17163.51 4623.242
## [7842,] 17173.51 4623.242
## [7843,] 17183.51 4623.242
## [7844,] 17193.51 4623.242
## [7845,] 17203.51 4623.242
## [7846,] 17213.51 4623.242
## [7847,] 17223.51 4623.242
## [7848,] 17233.51 4623.242
## [7849,] 16153.51 4633.242
## [7850,] 16163.51 4633.242
## [7851,] 16173.51 4633.242
## [7852,] 16183.51 4633.242
## [7853,] 16193.51 4633.242
## [7854,] 16203.51 4633.242
## [7855,] 16213.51 4633.242
## [7856,] 16223.51 4633.242
## [7857,] 16233.51 4633.242
## [7858,] 16243.51 4633.242
## [7859,] 16253.51 4633.242
## [7860,] 16263.51 4633.242
## [7861,] 16273.51 4633.242
## [7862,] 16283.51 4633.242
## [7863,] 16293.51 4633.242
## [7864,] 16303.51 4633.242
## [7865,] 16313.51 4633.242
## [7866,] 16323.51 4633.242
## [7867,] 16333.51 4633.242
## [7868,] 16343.51 4633.242
## [7869,] 16353.51 4633.242
## [7870,] 16363.51 4633.242
## [7871,] 16373.51 4633.242
## [7872,] 16383.51 4633.242
## [7873,] 16393.51 4633.242
## [7874,] 16403.51 4633.242
## [7875,] 16413.51 4633.242
## [7876,] 16423.51 4633.242
## [7877,] 16433.51 4633.242
## [7878,] 16443.51 4633.242
## [7879,] 16453.51 4633.242
## [7880,] 16463.51 4633.242
## [7881,] 16473.51 4633.242
## [7882,] 16483.51 4633.242
## [7883,] 16493.51 4633.242
## [7884,] 16503.51 4633.242
## [7885,] 16513.51 4633.242
## [7886,] 16523.51 4633.242
## [7887,] 16533.51 4633.242
## [7888,] 16543.51 4633.242
## [7889,] 16553.51 4633.242
## [7890,] 16563.51 4633.242
## [7891,] 16573.51 4633.242
## [7892,] 16583.51 4633.242
## [7893,] 16593.51 4633.242
## [7894,] 16603.51 4633.242
## [7895,] 16613.51 4633.242
## [7896,] 16623.51 4633.242
## [7897,] 16633.51 4633.242
## [7898,] 16643.51 4633.242
## [7899,] 16653.51 4633.242
## [7900,] 16663.51 4633.242
## [7901,] 16673.51 4633.242
## [7902,] 16683.51 4633.242
## [7903,] 16693.51 4633.242
## [7904,] 16703.51 4633.242
## [7905,] 16713.51 4633.242
## [7906,] 16723.51 4633.242
## [7907,] 16733.51 4633.242
## [7908,] 16743.51 4633.242
## [7909,] 16753.51 4633.242
## [7910,] 16763.51 4633.242
## [7911,] 16773.51 4633.242
## [7912,] 16783.51 4633.242
## [7913,] 16793.51 4633.242
## [7914,] 16803.51 4633.242
## [7915,] 16813.51 4633.242
## [7916,] 16823.51 4633.242
## [7917,] 16833.51 4633.242
## [7918,] 16843.51 4633.242
## [7919,] 16853.51 4633.242
## [7920,] 16863.51 4633.242
## [7921,] 16873.51 4633.242
## [7922,] 16883.51 4633.242
## [7923,] 16893.51 4633.242
## [7924,] 16903.51 4633.242
## [7925,] 16913.51 4633.242
## [7926,] 16923.51 4633.242
## [7927,] 16933.51 4633.242
## [7928,] 16943.51 4633.242
## [7929,] 16953.51 4633.242
## [7930,] 16963.51 4633.242
## [7931,] 16973.51 4633.242
## [7932,] 16983.51 4633.242
## [7933,] 16993.51 4633.242
## [7934,] 17003.51 4633.242
## [7935,] 17013.51 4633.242
## [7936,] 17023.51 4633.242
## [7937,] 17033.51 4633.242
## [7938,] 17043.51 4633.242
## [7939,] 17053.51 4633.242
## [7940,] 17063.51 4633.242
## [7941,] 17073.51 4633.242
## [7942,] 17083.51 4633.242
## [7943,] 17093.51 4633.242
## [7944,] 17103.51 4633.242
## [7945,] 17113.51 4633.242
## [7946,] 17123.51 4633.242
## [7947,] 17133.51 4633.242
## [7948,] 17143.51 4633.242
## [7949,] 17153.51 4633.242
## [7950,] 17163.51 4633.242
## [7951,] 17173.51 4633.242
## [7952,] 17183.51 4633.242
## [7953,] 17193.51 4633.242
## [7954,] 17203.51 4633.242
## [7955,] 17213.51 4633.242
## [7956,] 17223.51 4633.242
## [7957,] 17233.51 4633.242
## [7958,] 16153.51 4643.242
## [7959,] 16163.51 4643.242
## [7960,] 16173.51 4643.242
## [7961,] 16183.51 4643.242
## [7962,] 16193.51 4643.242
## [7963,] 16203.51 4643.242
## [7964,] 16213.51 4643.242
## [7965,] 16223.51 4643.242
## [7966,] 16233.51 4643.242
## [7967,] 16243.51 4643.242
## [7968,] 16253.51 4643.242
## [7969,] 16263.51 4643.242
## [7970,] 16273.51 4643.242
## [7971,] 16283.51 4643.242
## [7972,] 16293.51 4643.242
## [7973,] 16303.51 4643.242
## [7974,] 16313.51 4643.242
## [7975,] 16323.51 4643.242
## [7976,] 16333.51 4643.242
## [7977,] 16343.51 4643.242
## [7978,] 16353.51 4643.242
## [7979,] 16363.51 4643.242
## [7980,] 16373.51 4643.242
## [7981,] 16383.51 4643.242
## [7982,] 16393.51 4643.242
## [7983,] 16403.51 4643.242
## [7984,] 16413.51 4643.242
## [7985,] 16423.51 4643.242
## [7986,] 16433.51 4643.242
## [7987,] 16443.51 4643.242
## [7988,] 16453.51 4643.242
## [7989,] 16463.51 4643.242
## [7990,] 16473.51 4643.242
## [7991,] 16483.51 4643.242
## [7992,] 16493.51 4643.242
## [7993,] 16503.51 4643.242
## [7994,] 16513.51 4643.242
## [7995,] 16523.51 4643.242
## [7996,] 16533.51 4643.242
## [7997,] 16543.51 4643.242
## [7998,] 16553.51 4643.242
## [7999,] 16563.51 4643.242
## [8000,] 16573.51 4643.242
## [8001,] 16583.51 4643.242
## [8002,] 16593.51 4643.242
## [8003,] 16603.51 4643.242
## [8004,] 16613.51 4643.242
## [8005,] 16623.51 4643.242
## [8006,] 16633.51 4643.242
## [8007,] 16643.51 4643.242
## [8008,] 16653.51 4643.242
## [8009,] 16663.51 4643.242
## [8010,] 16673.51 4643.242
## [8011,] 16683.51 4643.242
## [8012,] 16693.51 4643.242
## [8013,] 16703.51 4643.242
## [8014,] 16713.51 4643.242
## [8015,] 16723.51 4643.242
## [8016,] 16733.51 4643.242
## [8017,] 16743.51 4643.242
## [8018,] 16753.51 4643.242
## [8019,] 16763.51 4643.242
## [8020,] 16773.51 4643.242
## [8021,] 16783.51 4643.242
## [8022,] 16793.51 4643.242
## [8023,] 16803.51 4643.242
## [8024,] 16813.51 4643.242
## [8025,] 16823.51 4643.242
## [8026,] 16833.51 4643.242
## [8027,] 16843.51 4643.242
## [8028,] 16853.51 4643.242
## [8029,] 16863.51 4643.242
## [8030,] 16873.51 4643.242
## [8031,] 16883.51 4643.242
## [8032,] 16893.51 4643.242
## [8033,] 16903.51 4643.242
## [8034,] 16913.51 4643.242
## [8035,] 16923.51 4643.242
## [8036,] 16933.51 4643.242
## [8037,] 16943.51 4643.242
## [8038,] 16953.51 4643.242
## [8039,] 16963.51 4643.242
## [8040,] 16973.51 4643.242
## [8041,] 16983.51 4643.242
## [8042,] 16993.51 4643.242
## [8043,] 17003.51 4643.242
## [8044,] 17013.51 4643.242
## [8045,] 17023.51 4643.242
## [8046,] 17033.51 4643.242
## [8047,] 17043.51 4643.242
## [8048,] 17053.51 4643.242
## [8049,] 17063.51 4643.242
## [8050,] 17073.51 4643.242
## [8051,] 17083.51 4643.242
## [8052,] 17093.51 4643.242
## [8053,] 17103.51 4643.242
## [8054,] 17113.51 4643.242
## [8055,] 17123.51 4643.242
## [8056,] 17133.51 4643.242
## [8057,] 17143.51 4643.242
## [8058,] 17153.51 4643.242
## [8059,] 17163.51 4643.242
## [8060,] 17173.51 4643.242
## [8061,] 17183.51 4643.242
## [8062,] 17193.51 4643.242
## [8063,] 17203.51 4643.242
## [8064,] 17213.51 4643.242
## [8065,] 17223.51 4643.242
## [8066,] 17233.51 4643.242
## [8067,] 16153.51 4653.242
## [8068,] 16163.51 4653.242
## [8069,] 16173.51 4653.242
## [8070,] 16183.51 4653.242
## [8071,] 16193.51 4653.242
## [8072,] 16203.51 4653.242
## [8073,] 16213.51 4653.242
## [8074,] 16223.51 4653.242
## [8075,] 16233.51 4653.242
## [8076,] 16243.51 4653.242
## [8077,] 16253.51 4653.242
## [8078,] 16263.51 4653.242
## [8079,] 16273.51 4653.242
## [8080,] 16283.51 4653.242
## [8081,] 16293.51 4653.242
## [8082,] 16303.51 4653.242
## [8083,] 16313.51 4653.242
## [8084,] 16323.51 4653.242
## [8085,] 16333.51 4653.242
## [8086,] 16343.51 4653.242
## [8087,] 16353.51 4653.242
## [8088,] 16363.51 4653.242
## [8089,] 16373.51 4653.242
## [8090,] 16383.51 4653.242
## [8091,] 16393.51 4653.242
## [8092,] 16403.51 4653.242
## [8093,] 16413.51 4653.242
## [8094,] 16423.51 4653.242
## [8095,] 16433.51 4653.242
## [8096,] 16443.51 4653.242
## [8097,] 16453.51 4653.242
## [8098,] 16463.51 4653.242
## [8099,] 16473.51 4653.242
## [8100,] 16483.51 4653.242
## [8101,] 16493.51 4653.242
## [8102,] 16503.51 4653.242
## [8103,] 16513.51 4653.242
## [8104,] 16523.51 4653.242
## [8105,] 16533.51 4653.242
## [8106,] 16543.51 4653.242
## [8107,] 16553.51 4653.242
## [8108,] 16563.51 4653.242
## [8109,] 16573.51 4653.242
## [8110,] 16583.51 4653.242
## [8111,] 16593.51 4653.242
## [8112,] 16603.51 4653.242
## [8113,] 16613.51 4653.242
## [8114,] 16623.51 4653.242
## [8115,] 16633.51 4653.242
## [8116,] 16643.51 4653.242
## [8117,] 16653.51 4653.242
## [8118,] 16663.51 4653.242
## [8119,] 16673.51 4653.242
## [8120,] 16683.51 4653.242
## [8121,] 16693.51 4653.242
## [8122,] 16703.51 4653.242
## [8123,] 16713.51 4653.242
## [8124,] 16723.51 4653.242
## [8125,] 16733.51 4653.242
## [8126,] 16743.51 4653.242
## [8127,] 16753.51 4653.242
## [8128,] 16763.51 4653.242
## [8129,] 16773.51 4653.242
## [8130,] 16783.51 4653.242
## [8131,] 16793.51 4653.242
## [8132,] 16803.51 4653.242
## [8133,] 16813.51 4653.242
## [8134,] 16823.51 4653.242
## [8135,] 16833.51 4653.242
## [8136,] 16843.51 4653.242
## [8137,] 16853.51 4653.242
## [8138,] 16863.51 4653.242
## [8139,] 16873.51 4653.242
## [8140,] 16883.51 4653.242
## [8141,] 16893.51 4653.242
## [8142,] 16903.51 4653.242
## [8143,] 16913.51 4653.242
## [8144,] 16923.51 4653.242
## [8145,] 16933.51 4653.242
## [8146,] 16943.51 4653.242
## [8147,] 16953.51 4653.242
## [8148,] 16963.51 4653.242
## [8149,] 16973.51 4653.242
## [8150,] 16983.51 4653.242
## [8151,] 16993.51 4653.242
## [8152,] 17003.51 4653.242
## [8153,] 17013.51 4653.242
## [8154,] 17023.51 4653.242
## [8155,] 17033.51 4653.242
## [8156,] 17043.51 4653.242
## [8157,] 17053.51 4653.242
## [8158,] 17063.51 4653.242
## [8159,] 17073.51 4653.242
## [8160,] 17083.51 4653.242
## [8161,] 17093.51 4653.242
## [8162,] 17103.51 4653.242
## [8163,] 17113.51 4653.242
## [8164,] 17123.51 4653.242
## [8165,] 17133.51 4653.242
## [8166,] 17143.51 4653.242
## [8167,] 17153.51 4653.242
## [8168,] 17163.51 4653.242
## [8169,] 17173.51 4653.242
## [8170,] 17183.51 4653.242
## [8171,] 17193.51 4653.242
## [8172,] 17203.51 4653.242
## [8173,] 17213.51 4653.242
## [8174,] 17223.51 4653.242
## [8175,] 17233.51 4653.242
## [8176,] 16153.51 4663.242
## [8177,] 16163.51 4663.242
## [8178,] 16173.51 4663.242
## [8179,] 16183.51 4663.242
## [8180,] 16193.51 4663.242
## [8181,] 16203.51 4663.242
## [8182,] 16213.51 4663.242
## [8183,] 16223.51 4663.242
## [8184,] 16233.51 4663.242
## [8185,] 16243.51 4663.242
## [8186,] 16253.51 4663.242
## [8187,] 16263.51 4663.242
## [8188,] 16273.51 4663.242
## [8189,] 16283.51 4663.242
## [8190,] 16293.51 4663.242
## [8191,] 16303.51 4663.242
## [8192,] 16313.51 4663.242
## [8193,] 16323.51 4663.242
## [8194,] 16333.51 4663.242
## [8195,] 16343.51 4663.242
## [8196,] 16353.51 4663.242
## [8197,] 16363.51 4663.242
## [8198,] 16373.51 4663.242
## [8199,] 16383.51 4663.242
## [8200,] 16393.51 4663.242
## [8201,] 16403.51 4663.242
## [8202,] 16413.51 4663.242
## [8203,] 16423.51 4663.242
## [8204,] 16433.51 4663.242
## [8205,] 16443.51 4663.242
## [8206,] 16453.51 4663.242
## [8207,] 16463.51 4663.242
## [8208,] 16473.51 4663.242
## [8209,] 16483.51 4663.242
## [8210,] 16493.51 4663.242
## [8211,] 16503.51 4663.242
## [8212,] 16513.51 4663.242
## [8213,] 16523.51 4663.242
## [8214,] 16533.51 4663.242
## [8215,] 16543.51 4663.242
## [8216,] 16553.51 4663.242
## [8217,] 16563.51 4663.242
## [8218,] 16573.51 4663.242
## [8219,] 16583.51 4663.242
## [8220,] 16593.51 4663.242
## [8221,] 16603.51 4663.242
## [8222,] 16613.51 4663.242
## [8223,] 16623.51 4663.242
## [8224,] 16633.51 4663.242
## [8225,] 16643.51 4663.242
## [8226,] 16653.51 4663.242
## [8227,] 16663.51 4663.242
## [8228,] 16673.51 4663.242
## [8229,] 16683.51 4663.242
## [8230,] 16693.51 4663.242
## [8231,] 16703.51 4663.242
## [8232,] 16713.51 4663.242
## [8233,] 16723.51 4663.242
## [8234,] 16733.51 4663.242
## [8235,] 16743.51 4663.242
## [8236,] 16753.51 4663.242
## [8237,] 16763.51 4663.242
## [8238,] 16773.51 4663.242
## [8239,] 16783.51 4663.242
## [8240,] 16793.51 4663.242
## [8241,] 16803.51 4663.242
## [8242,] 16813.51 4663.242
## [8243,] 16823.51 4663.242
## [8244,] 16833.51 4663.242
## [8245,] 16843.51 4663.242
## [8246,] 16853.51 4663.242
## [8247,] 16863.51 4663.242
## [8248,] 16873.51 4663.242
## [8249,] 16883.51 4663.242
## [8250,] 16893.51 4663.242
## [8251,] 16903.51 4663.242
## [8252,] 16913.51 4663.242
## [8253,] 16923.51 4663.242
## [8254,] 16933.51 4663.242
## [8255,] 16943.51 4663.242
## [8256,] 16953.51 4663.242
## [8257,] 16963.51 4663.242
## [8258,] 16973.51 4663.242
## [8259,] 16983.51 4663.242
## [8260,] 16993.51 4663.242
## [8261,] 17003.51 4663.242
## [8262,] 17013.51 4663.242
## [8263,] 17023.51 4663.242
## [8264,] 17033.51 4663.242
## [8265,] 17043.51 4663.242
## [8266,] 17053.51 4663.242
## [8267,] 17063.51 4663.242
## [8268,] 17073.51 4663.242
## [8269,] 17083.51 4663.242
## [8270,] 17093.51 4663.242
## [8271,] 17103.51 4663.242
## [8272,] 17113.51 4663.242
## [8273,] 17123.51 4663.242
## [8274,] 17133.51 4663.242
## [8275,] 17143.51 4663.242
## [8276,] 17153.51 4663.242
## [8277,] 17163.51 4663.242
## [8278,] 17173.51 4663.242
## [8279,] 17183.51 4663.242
## [8280,] 17193.51 4663.242
## [8281,] 17203.51 4663.242
## [8282,] 17213.51 4663.242
## [8283,] 17223.51 4663.242
## [8284,] 17233.51 4663.242
## [8285,] 16153.51 4673.242
## [8286,] 16163.51 4673.242
## [8287,] 16173.51 4673.242
## [8288,] 16183.51 4673.242
## [8289,] 16193.51 4673.242
## [8290,] 16203.51 4673.242
## [8291,] 16213.51 4673.242
## [8292,] 16223.51 4673.242
## [8293,] 16233.51 4673.242
## [8294,] 16243.51 4673.242
## [8295,] 16253.51 4673.242
## [8296,] 16263.51 4673.242
## [8297,] 16273.51 4673.242
## [8298,] 16283.51 4673.242
## [8299,] 16293.51 4673.242
## [8300,] 16303.51 4673.242
## [8301,] 16313.51 4673.242
## [8302,] 16323.51 4673.242
## [8303,] 16333.51 4673.242
## [8304,] 16343.51 4673.242
## [8305,] 16353.51 4673.242
## [8306,] 16363.51 4673.242
## [8307,] 16373.51 4673.242
## [8308,] 16383.51 4673.242
## [8309,] 16393.51 4673.242
## [8310,] 16403.51 4673.242
## [8311,] 16413.51 4673.242
## [8312,] 16423.51 4673.242
## [8313,] 16433.51 4673.242
## [8314,] 16443.51 4673.242
## [8315,] 16453.51 4673.242
## [8316,] 16463.51 4673.242
## [8317,] 16473.51 4673.242
## [8318,] 16483.51 4673.242
## [8319,] 16493.51 4673.242
## [8320,] 16503.51 4673.242
## [8321,] 16513.51 4673.242
## [8322,] 16523.51 4673.242
## [8323,] 16533.51 4673.242
## [8324,] 16543.51 4673.242
## [8325,] 16553.51 4673.242
## [8326,] 16563.51 4673.242
## [8327,] 16573.51 4673.242
## [8328,] 16583.51 4673.242
## [8329,] 16593.51 4673.242
## [8330,] 16603.51 4673.242
## [8331,] 16613.51 4673.242
## [8332,] 16623.51 4673.242
## [8333,] 16633.51 4673.242
## [8334,] 16643.51 4673.242
## [8335,] 16653.51 4673.242
## [8336,] 16663.51 4673.242
## [8337,] 16673.51 4673.242
## [8338,] 16683.51 4673.242
## [8339,] 16693.51 4673.242
## [8340,] 16703.51 4673.242
## [8341,] 16713.51 4673.242
## [8342,] 16723.51 4673.242
## [8343,] 16733.51 4673.242
## [8344,] 16743.51 4673.242
## [8345,] 16753.51 4673.242
## [8346,] 16763.51 4673.242
## [8347,] 16773.51 4673.242
## [8348,] 16783.51 4673.242
## [8349,] 16793.51 4673.242
## [8350,] 16803.51 4673.242
## [8351,] 16813.51 4673.242
## [8352,] 16823.51 4673.242
## [8353,] 16833.51 4673.242
## [8354,] 16843.51 4673.242
## [8355,] 16853.51 4673.242
## [8356,] 16863.51 4673.242
## [8357,] 16873.51 4673.242
## [8358,] 16883.51 4673.242
## [8359,] 16893.51 4673.242
## [8360,] 16903.51 4673.242
## [8361,] 16913.51 4673.242
## [8362,] 16923.51 4673.242
## [8363,] 16933.51 4673.242
## [8364,] 16943.51 4673.242
## [8365,] 16953.51 4673.242
## [8366,] 16963.51 4673.242
## [8367,] 16973.51 4673.242
## [8368,] 16983.51 4673.242
## [8369,] 16993.51 4673.242
## [8370,] 17003.51 4673.242
## [8371,] 17013.51 4673.242
## [8372,] 17023.51 4673.242
## [8373,] 17033.51 4673.242
## [8374,] 17043.51 4673.242
## [8375,] 17053.51 4673.242
## [8376,] 17063.51 4673.242
## [8377,] 17073.51 4673.242
## [8378,] 17083.51 4673.242
## [8379,] 17093.51 4673.242
## [8380,] 17103.51 4673.242
## [8381,] 17113.51 4673.242
## [8382,] 17123.51 4673.242
## [8383,] 17133.51 4673.242
## [8384,] 17143.51 4673.242
## [8385,] 17153.51 4673.242
## [8386,] 17163.51 4673.242
## [8387,] 17173.51 4673.242
## [8388,] 17183.51 4673.242
## [8389,] 17193.51 4673.242
## [8390,] 17203.51 4673.242
## [8391,] 17213.51 4673.242
## [8392,] 17223.51 4673.242
## [8393,] 17233.51 4673.242
## [8394,] 16153.51 4683.242
## [8395,] 16163.51 4683.242
## [8396,] 16173.51 4683.242
## [8397,] 16183.51 4683.242
## [8398,] 16193.51 4683.242
## [8399,] 16203.51 4683.242
## [8400,] 16213.51 4683.242
## [8401,] 16223.51 4683.242
## [8402,] 16233.51 4683.242
## [8403,] 16243.51 4683.242
## [8404,] 16253.51 4683.242
## [8405,] 16263.51 4683.242
## [8406,] 16273.51 4683.242
## [8407,] 16283.51 4683.242
## [8408,] 16293.51 4683.242
## [8409,] 16303.51 4683.242
## [8410,] 16313.51 4683.242
## [8411,] 16323.51 4683.242
## [8412,] 16333.51 4683.242
## [8413,] 16343.51 4683.242
## [8414,] 16353.51 4683.242
## [8415,] 16363.51 4683.242
## [8416,] 16373.51 4683.242
## [8417,] 16383.51 4683.242
## [8418,] 16393.51 4683.242
## [8419,] 16403.51 4683.242
## [8420,] 16413.51 4683.242
## [8421,] 16423.51 4683.242
## [8422,] 16433.51 4683.242
## [8423,] 16443.51 4683.242
## [8424,] 16453.51 4683.242
## [8425,] 16463.51 4683.242
## [8426,] 16473.51 4683.242
## [8427,] 16483.51 4683.242
## [8428,] 16493.51 4683.242
## [8429,] 16503.51 4683.242
## [8430,] 16513.51 4683.242
## [8431,] 16523.51 4683.242
## [8432,] 16533.51 4683.242
## [8433,] 16543.51 4683.242
## [8434,] 16553.51 4683.242
## [8435,] 16563.51 4683.242
## [8436,] 16573.51 4683.242
## [8437,] 16583.51 4683.242
## [8438,] 16593.51 4683.242
## [8439,] 16603.51 4683.242
## [8440,] 16613.51 4683.242
## [8441,] 16623.51 4683.242
## [8442,] 16633.51 4683.242
## [8443,] 16643.51 4683.242
## [8444,] 16653.51 4683.242
## [8445,] 16663.51 4683.242
## [8446,] 16673.51 4683.242
## [8447,] 16683.51 4683.242
## [8448,] 16693.51 4683.242
## [8449,] 16703.51 4683.242
## [8450,] 16713.51 4683.242
## [8451,] 16723.51 4683.242
## [8452,] 16733.51 4683.242
## [8453,] 16743.51 4683.242
## [8454,] 16753.51 4683.242
## [8455,] 16763.51 4683.242
## [8456,] 16773.51 4683.242
## [8457,] 16783.51 4683.242
## [8458,] 16793.51 4683.242
## [8459,] 16803.51 4683.242
## [8460,] 16813.51 4683.242
## [8461,] 16823.51 4683.242
## [8462,] 16833.51 4683.242
## [8463,] 16843.51 4683.242
## [8464,] 16853.51 4683.242
## [8465,] 16863.51 4683.242
## [8466,] 16873.51 4683.242
## [8467,] 16883.51 4683.242
## [8468,] 16893.51 4683.242
## [8469,] 16903.51 4683.242
## [8470,] 16913.51 4683.242
## [8471,] 16923.51 4683.242
## [8472,] 16933.51 4683.242
## [8473,] 16943.51 4683.242
## [8474,] 16953.51 4683.242
## [8475,] 16963.51 4683.242
## [8476,] 16973.51 4683.242
## [8477,] 16983.51 4683.242
## [8478,] 16993.51 4683.242
## [8479,] 17003.51 4683.242
## [8480,] 17013.51 4683.242
## [8481,] 17023.51 4683.242
## [8482,] 17033.51 4683.242
## [8483,] 17043.51 4683.242
## [8484,] 17053.51 4683.242
## [8485,] 17063.51 4683.242
## [8486,] 17073.51 4683.242
## [8487,] 17083.51 4683.242
## [8488,] 17093.51 4683.242
## [8489,] 17103.51 4683.242
## [8490,] 17113.51 4683.242
## [8491,] 17123.51 4683.242
## [8492,] 17133.51 4683.242
## [8493,] 17143.51 4683.242
## [8494,] 17153.51 4683.242
## [8495,] 17163.51 4683.242
## [8496,] 17173.51 4683.242
## [8497,] 17183.51 4683.242
## [8498,] 17193.51 4683.242
## [8499,] 17203.51 4683.242
## [8500,] 17213.51 4683.242
## [8501,] 17223.51 4683.242
## [8502,] 17233.51 4683.242
## [8503,] 16153.51 4693.242
## [8504,] 16163.51 4693.242
## [8505,] 16173.51 4693.242
## [8506,] 16183.51 4693.242
## [8507,] 16193.51 4693.242
## [8508,] 16203.51 4693.242
## [8509,] 16213.51 4693.242
## [8510,] 16223.51 4693.242
## [8511,] 16233.51 4693.242
## [8512,] 16243.51 4693.242
## [8513,] 16253.51 4693.242
## [8514,] 16263.51 4693.242
## [8515,] 16273.51 4693.242
## [8516,] 16283.51 4693.242
## [8517,] 16293.51 4693.242
## [8518,] 16303.51 4693.242
## [8519,] 16313.51 4693.242
## [8520,] 16323.51 4693.242
## [8521,] 16333.51 4693.242
## [8522,] 16343.51 4693.242
## [8523,] 16353.51 4693.242
## [8524,] 16363.51 4693.242
## [8525,] 16373.51 4693.242
## [8526,] 16383.51 4693.242
## [8527,] 16393.51 4693.242
## [8528,] 16403.51 4693.242
## [8529,] 16413.51 4693.242
## [8530,] 16423.51 4693.242
## [8531,] 16433.51 4693.242
## [8532,] 16443.51 4693.242
## [8533,] 16453.51 4693.242
## [8534,] 16463.51 4693.242
## [8535,] 16473.51 4693.242
## [8536,] 16483.51 4693.242
## [8537,] 16493.51 4693.242
## [8538,] 16503.51 4693.242
## [8539,] 16513.51 4693.242
## [8540,] 16523.51 4693.242
## [8541,] 16533.51 4693.242
## [8542,] 16543.51 4693.242
## [8543,] 16553.51 4693.242
## [8544,] 16563.51 4693.242
## [8545,] 16573.51 4693.242
## [8546,] 16583.51 4693.242
## [8547,] 16593.51 4693.242
## [8548,] 16603.51 4693.242
## [8549,] 16613.51 4693.242
## [8550,] 16623.51 4693.242
## [8551,] 16633.51 4693.242
## [8552,] 16643.51 4693.242
## [8553,] 16653.51 4693.242
## [8554,] 16663.51 4693.242
## [8555,] 16673.51 4693.242
## [8556,] 16683.51 4693.242
## [8557,] 16693.51 4693.242
## [8558,] 16703.51 4693.242
## [8559,] 16713.51 4693.242
## [8560,] 16723.51 4693.242
## [8561,] 16733.51 4693.242
## [8562,] 16743.51 4693.242
## [8563,] 16753.51 4693.242
## [8564,] 16763.51 4693.242
## [8565,] 16773.51 4693.242
## [8566,] 16783.51 4693.242
## [8567,] 16793.51 4693.242
## [8568,] 16803.51 4693.242
## [8569,] 16813.51 4693.242
## [8570,] 16823.51 4693.242
## [8571,] 16833.51 4693.242
## [8572,] 16843.51 4693.242
## [8573,] 16853.51 4693.242
## [8574,] 16863.51 4693.242
## [8575,] 16873.51 4693.242
## [8576,] 16883.51 4693.242
## [8577,] 16893.51 4693.242
## [8578,] 16903.51 4693.242
## [8579,] 16913.51 4693.242
## [8580,] 16923.51 4693.242
## [8581,] 16933.51 4693.242
## [8582,] 16943.51 4693.242
## [8583,] 16953.51 4693.242
## [8584,] 16963.51 4693.242
## [8585,] 16973.51 4693.242
## [8586,] 16983.51 4693.242
## [8587,] 16993.51 4693.242
## [8588,] 17003.51 4693.242
## [8589,] 17013.51 4693.242
## [8590,] 17023.51 4693.242
## [8591,] 17033.51 4693.242
## [8592,] 17043.51 4693.242
## [8593,] 17053.51 4693.242
## [8594,] 17063.51 4693.242
## [8595,] 17073.51 4693.242
## [8596,] 17083.51 4693.242
## [8597,] 17093.51 4693.242
## [8598,] 17103.51 4693.242
## [8599,] 17113.51 4693.242
## [8600,] 17123.51 4693.242
## [8601,] 17133.51 4693.242
## [8602,] 17143.51 4693.242
## [8603,] 17153.51 4693.242
## [8604,] 17163.51 4693.242
## [8605,] 17173.51 4693.242
## [8606,] 17183.51 4693.242
## [8607,] 17193.51 4693.242
## [8608,] 17203.51 4693.242
## [8609,] 17213.51 4693.242
## [8610,] 17223.51 4693.242
## [8611,] 17233.51 4693.242
## [8612,] 16153.51 4703.242
## [8613,] 16163.51 4703.242
## [8614,] 16173.51 4703.242
## [8615,] 16183.51 4703.242
## [8616,] 16193.51 4703.242
## [8617,] 16203.51 4703.242
## [8618,] 16213.51 4703.242
## [8619,] 16223.51 4703.242
## [8620,] 16233.51 4703.242
## [8621,] 16243.51 4703.242
## [8622,] 16253.51 4703.242
## [8623,] 16263.51 4703.242
## [8624,] 16273.51 4703.242
## [8625,] 16283.51 4703.242
## [8626,] 16293.51 4703.242
## [8627,] 16303.51 4703.242
## [8628,] 16313.51 4703.242
## [8629,] 16323.51 4703.242
## [8630,] 16333.51 4703.242
## [8631,] 16343.51 4703.242
## [8632,] 16353.51 4703.242
## [8633,] 16363.51 4703.242
## [8634,] 16373.51 4703.242
## [8635,] 16383.51 4703.242
## [8636,] 16393.51 4703.242
## [8637,] 16403.51 4703.242
## [8638,] 16413.51 4703.242
## [8639,] 16423.51 4703.242
## [8640,] 16433.51 4703.242
## [8641,] 16443.51 4703.242
## [8642,] 16453.51 4703.242
## [8643,] 16463.51 4703.242
## [8644,] 16473.51 4703.242
## [8645,] 16483.51 4703.242
## [8646,] 16493.51 4703.242
## [8647,] 16503.51 4703.242
## [8648,] 16513.51 4703.242
## [8649,] 16523.51 4703.242
## [8650,] 16533.51 4703.242
## [8651,] 16543.51 4703.242
## [8652,] 16553.51 4703.242
## [8653,] 16563.51 4703.242
## [8654,] 16573.51 4703.242
## [8655,] 16583.51 4703.242
## [8656,] 16593.51 4703.242
## [8657,] 16603.51 4703.242
## [8658,] 16613.51 4703.242
## [8659,] 16623.51 4703.242
## [8660,] 16633.51 4703.242
## [8661,] 16643.51 4703.242
## [8662,] 16653.51 4703.242
## [8663,] 16663.51 4703.242
## [8664,] 16673.51 4703.242
## [8665,] 16683.51 4703.242
## [8666,] 16693.51 4703.242
## [8667,] 16703.51 4703.242
## [8668,] 16713.51 4703.242
## [8669,] 16723.51 4703.242
## [8670,] 16733.51 4703.242
## [8671,] 16743.51 4703.242
## [8672,] 16753.51 4703.242
## [8673,] 16763.51 4703.242
## [8674,] 16773.51 4703.242
## [8675,] 16783.51 4703.242
## [8676,] 16793.51 4703.242
## [8677,] 16803.51 4703.242
## [8678,] 16813.51 4703.242
## [8679,] 16823.51 4703.242
## [8680,] 16833.51 4703.242
## [8681,] 16843.51 4703.242
## [8682,] 16853.51 4703.242
## [8683,] 16863.51 4703.242
## [8684,] 16873.51 4703.242
## [8685,] 16883.51 4703.242
## [8686,] 16893.51 4703.242
## [8687,] 16903.51 4703.242
## [8688,] 16913.51 4703.242
## [8689,] 16923.51 4703.242
## [8690,] 16933.51 4703.242
## [8691,] 16943.51 4703.242
## [8692,] 16953.51 4703.242
## [8693,] 16963.51 4703.242
## [8694,] 16973.51 4703.242
## [8695,] 16983.51 4703.242
## [8696,] 16993.51 4703.242
## [8697,] 17003.51 4703.242
## [8698,] 17013.51 4703.242
## [8699,] 17023.51 4703.242
## [8700,] 17033.51 4703.242
## [8701,] 17043.51 4703.242
## [8702,] 17053.51 4703.242
## [8703,] 17063.51 4703.242
## [8704,] 17073.51 4703.242
## [8705,] 17083.51 4703.242
## [8706,] 17093.51 4703.242
## [8707,] 17103.51 4703.242
## [8708,] 17113.51 4703.242
## [8709,] 17123.51 4703.242
## [8710,] 17133.51 4703.242
## [8711,] 17143.51 4703.242
## [8712,] 17153.51 4703.242
## [8713,] 17163.51 4703.242
## [8714,] 17173.51 4703.242
## [8715,] 17183.51 4703.242
## [8716,] 17193.51 4703.242
## [8717,] 17203.51 4703.242
## [8718,] 17213.51 4703.242
## [8719,] 17223.51 4703.242
## [8720,] 17233.51 4703.242
## [8721,] 16153.51 4713.242
## [8722,] 16163.51 4713.242
## [8723,] 16173.51 4713.242
## [8724,] 16183.51 4713.242
## [8725,] 16193.51 4713.242
## [8726,] 16203.51 4713.242
## [8727,] 16213.51 4713.242
## [8728,] 16223.51 4713.242
## [8729,] 16233.51 4713.242
## [8730,] 16243.51 4713.242
## [8731,] 16253.51 4713.242
## [8732,] 16263.51 4713.242
## [8733,] 16273.51 4713.242
## [8734,] 16283.51 4713.242
## [8735,] 16293.51 4713.242
## [8736,] 16303.51 4713.242
## [8737,] 16313.51 4713.242
## [8738,] 16323.51 4713.242
## [8739,] 16333.51 4713.242
## [8740,] 16343.51 4713.242
## [8741,] 16353.51 4713.242
## [8742,] 16363.51 4713.242
## [8743,] 16373.51 4713.242
## [8744,] 16383.51 4713.242
## [8745,] 16393.51 4713.242
## [8746,] 16403.51 4713.242
## [8747,] 16413.51 4713.242
## [8748,] 16423.51 4713.242
## [8749,] 16433.51 4713.242
## [8750,] 16443.51 4713.242
## [8751,] 16453.51 4713.242
## [8752,] 16463.51 4713.242
## [8753,] 16473.51 4713.242
## [8754,] 16483.51 4713.242
## [8755,] 16493.51 4713.242
## [8756,] 16503.51 4713.242
## [8757,] 16513.51 4713.242
## [8758,] 16523.51 4713.242
## [8759,] 16533.51 4713.242
## [8760,] 16543.51 4713.242
## [8761,] 16553.51 4713.242
## [8762,] 16563.51 4713.242
## [8763,] 16573.51 4713.242
## [8764,] 16583.51 4713.242
## [8765,] 16593.51 4713.242
## [8766,] 16603.51 4713.242
## [8767,] 16613.51 4713.242
## [8768,] 16623.51 4713.242
## [8769,] 16633.51 4713.242
## [8770,] 16643.51 4713.242
## [8771,] 16653.51 4713.242
## [8772,] 16663.51 4713.242
## [8773,] 16673.51 4713.242
## [8774,] 16683.51 4713.242
## [8775,] 16693.51 4713.242
## [8776,] 16703.51 4713.242
## [8777,] 16713.51 4713.242
## [8778,] 16723.51 4713.242
## [8779,] 16733.51 4713.242
## [8780,] 16743.51 4713.242
## [8781,] 16753.51 4713.242
## [8782,] 16763.51 4713.242
## [8783,] 16773.51 4713.242
## [8784,] 16783.51 4713.242
## [8785,] 16793.51 4713.242
## [8786,] 16803.51 4713.242
## [8787,] 16813.51 4713.242
## [8788,] 16823.51 4713.242
## [8789,] 16833.51 4713.242
## [8790,] 16843.51 4713.242
## [8791,] 16853.51 4713.242
## [8792,] 16863.51 4713.242
## [8793,] 16873.51 4713.242
## [8794,] 16883.51 4713.242
## [8795,] 16893.51 4713.242
## [8796,] 16903.51 4713.242
## [8797,] 16913.51 4713.242
## [8798,] 16923.51 4713.242
## [8799,] 16933.51 4713.242
## [8800,] 16943.51 4713.242
## [8801,] 16953.51 4713.242
## [8802,] 16963.51 4713.242
## [8803,] 16973.51 4713.242
## [8804,] 16983.51 4713.242
## [8805,] 16993.51 4713.242
## [8806,] 17003.51 4713.242
## [8807,] 17013.51 4713.242
## [8808,] 17023.51 4713.242
## [8809,] 17033.51 4713.242
## [8810,] 17043.51 4713.242
## [8811,] 17053.51 4713.242
## [8812,] 17063.51 4713.242
## [8813,] 17073.51 4713.242
## [8814,] 17083.51 4713.242
## [8815,] 17093.51 4713.242
## [8816,] 17103.51 4713.242
## [8817,] 17113.51 4713.242
## [8818,] 17123.51 4713.242
## [8819,] 17133.51 4713.242
## [8820,] 17143.51 4713.242
## [8821,] 17153.51 4713.242
## [8822,] 17163.51 4713.242
## [8823,] 17173.51 4713.242
## [8824,] 17183.51 4713.242
## [8825,] 17193.51 4713.242
## [8826,] 17203.51 4713.242
## [8827,] 17213.51 4713.242
## [8828,] 17223.51 4713.242
## [8829,] 17233.51 4713.242
## [8830,] 16153.51 4723.242
## [8831,] 16163.51 4723.242
## [8832,] 16173.51 4723.242
## [8833,] 16183.51 4723.242
## [8834,] 16193.51 4723.242
## [8835,] 16203.51 4723.242
## [8836,] 16213.51 4723.242
## [8837,] 16223.51 4723.242
## [8838,] 16233.51 4723.242
## [8839,] 16243.51 4723.242
## [8840,] 16253.51 4723.242
## [8841,] 16263.51 4723.242
## [8842,] 16273.51 4723.242
## [8843,] 16283.51 4723.242
## [8844,] 16293.51 4723.242
## [8845,] 16303.51 4723.242
## [8846,] 16313.51 4723.242
## [8847,] 16323.51 4723.242
## [8848,] 16333.51 4723.242
## [8849,] 16343.51 4723.242
## [8850,] 16353.51 4723.242
## [8851,] 16363.51 4723.242
## [8852,] 16373.51 4723.242
## [8853,] 16383.51 4723.242
## [8854,] 16393.51 4723.242
## [8855,] 16403.51 4723.242
## [8856,] 16413.51 4723.242
## [8857,] 16423.51 4723.242
## [8858,] 16433.51 4723.242
## [8859,] 16443.51 4723.242
## [8860,] 16453.51 4723.242
## [8861,] 16463.51 4723.242
## [8862,] 16473.51 4723.242
## [8863,] 16483.51 4723.242
## [8864,] 16493.51 4723.242
## [8865,] 16503.51 4723.242
## [8866,] 16513.51 4723.242
## [8867,] 16523.51 4723.242
## [8868,] 16533.51 4723.242
## [8869,] 16543.51 4723.242
## [8870,] 16553.51 4723.242
## [8871,] 16563.51 4723.242
## [8872,] 16573.51 4723.242
## [8873,] 16583.51 4723.242
## [8874,] 16593.51 4723.242
## [8875,] 16603.51 4723.242
## [8876,] 16613.51 4723.242
## [8877,] 16623.51 4723.242
## [8878,] 16633.51 4723.242
## [8879,] 16643.51 4723.242
## [8880,] 16653.51 4723.242
## [8881,] 16663.51 4723.242
## [8882,] 16673.51 4723.242
## [8883,] 16683.51 4723.242
## [8884,] 16693.51 4723.242
## [8885,] 16703.51 4723.242
## [8886,] 16713.51 4723.242
## [8887,] 16723.51 4723.242
## [8888,] 16733.51 4723.242
## [8889,] 16743.51 4723.242
## [8890,] 16753.51 4723.242
## [8891,] 16763.51 4723.242
## [8892,] 16773.51 4723.242
## [8893,] 16783.51 4723.242
## [8894,] 16793.51 4723.242
## [8895,] 16803.51 4723.242
## [8896,] 16813.51 4723.242
## [8897,] 16823.51 4723.242
## [8898,] 16833.51 4723.242
## [8899,] 16843.51 4723.242
## [8900,] 16853.51 4723.242
## [8901,] 16863.51 4723.242
## [8902,] 16873.51 4723.242
## [8903,] 16883.51 4723.242
## [8904,] 16893.51 4723.242
## [8905,] 16903.51 4723.242
## [8906,] 16913.51 4723.242
## [8907,] 16923.51 4723.242
## [8908,] 16933.51 4723.242
## [8909,] 16943.51 4723.242
## [8910,] 16953.51 4723.242
## [8911,] 16963.51 4723.242
## [8912,] 16973.51 4723.242
## [8913,] 16983.51 4723.242
## [8914,] 16993.51 4723.242
## [8915,] 17003.51 4723.242
## [8916,] 17013.51 4723.242
## [8917,] 17023.51 4723.242
## [8918,] 17033.51 4723.242
## [8919,] 17043.51 4723.242
## [8920,] 17053.51 4723.242
## [8921,] 17063.51 4723.242
## [8922,] 17073.51 4723.242
## [8923,] 17083.51 4723.242
## [8924,] 17093.51 4723.242
## [8925,] 17103.51 4723.242
## [8926,] 17113.51 4723.242
## [8927,] 17123.51 4723.242
## [8928,] 17133.51 4723.242
## [8929,] 17143.51 4723.242
## [8930,] 17153.51 4723.242
## [8931,] 17163.51 4723.242
## [8932,] 17173.51 4723.242
## [8933,] 17183.51 4723.242
## [8934,] 17193.51 4723.242
## [8935,] 17203.51 4723.242
## [8936,] 17213.51 4723.242
## [8937,] 17223.51 4723.242
## [8938,] 17233.51 4723.242
## [8939,] 16153.51 4733.242
## [8940,] 16163.51 4733.242
## [8941,] 16173.51 4733.242
## [8942,] 16183.51 4733.242
## [8943,] 16193.51 4733.242
## [8944,] 16203.51 4733.242
## [8945,] 16213.51 4733.242
## [8946,] 16223.51 4733.242
## [8947,] 16233.51 4733.242
## [8948,] 16243.51 4733.242
## [8949,] 16253.51 4733.242
## [8950,] 16263.51 4733.242
## [8951,] 16273.51 4733.242
## [8952,] 16283.51 4733.242
## [8953,] 16293.51 4733.242
## [8954,] 16303.51 4733.242
## [8955,] 16313.51 4733.242
## [8956,] 16323.51 4733.242
## [8957,] 16333.51 4733.242
## [8958,] 16343.51 4733.242
## [8959,] 16353.51 4733.242
## [8960,] 16363.51 4733.242
## [8961,] 16373.51 4733.242
## [8962,] 16383.51 4733.242
## [8963,] 16393.51 4733.242
## [8964,] 16403.51 4733.242
## [8965,] 16413.51 4733.242
## [8966,] 16423.51 4733.242
## [8967,] 16433.51 4733.242
## [8968,] 16443.51 4733.242
## [8969,] 16453.51 4733.242
## [8970,] 16463.51 4733.242
## [8971,] 16473.51 4733.242
## [8972,] 16483.51 4733.242
## [8973,] 16493.51 4733.242
## [8974,] 16503.51 4733.242
## [8975,] 16513.51 4733.242
## [8976,] 16523.51 4733.242
## [8977,] 16533.51 4733.242
## [8978,] 16543.51 4733.242
## [8979,] 16553.51 4733.242
## [8980,] 16563.51 4733.242
## [8981,] 16573.51 4733.242
## [8982,] 16583.51 4733.242
## [8983,] 16593.51 4733.242
## [8984,] 16603.51 4733.242
## [8985,] 16613.51 4733.242
## [8986,] 16623.51 4733.242
## [8987,] 16633.51 4733.242
## [8988,] 16643.51 4733.242
## [8989,] 16653.51 4733.242
## [8990,] 16663.51 4733.242
## [8991,] 16673.51 4733.242
## [8992,] 16683.51 4733.242
## [8993,] 16693.51 4733.242
## [8994,] 16703.51 4733.242
## [8995,] 16713.51 4733.242
## [8996,] 16723.51 4733.242
## [8997,] 16733.51 4733.242
## [8998,] 16743.51 4733.242
## [8999,] 16753.51 4733.242
## [9000,] 16763.51 4733.242
## [9001,] 16773.51 4733.242
## [9002,] 16783.51 4733.242
## [9003,] 16793.51 4733.242
## [9004,] 16803.51 4733.242
## [9005,] 16813.51 4733.242
## [9006,] 16823.51 4733.242
## [9007,] 16833.51 4733.242
## [9008,] 16843.51 4733.242
## [9009,] 16853.51 4733.242
## [9010,] 16863.51 4733.242
## [9011,] 16873.51 4733.242
## [9012,] 16883.51 4733.242
## [9013,] 16893.51 4733.242
## [9014,] 16903.51 4733.242
## [9015,] 16913.51 4733.242
## [9016,] 16923.51 4733.242
## [9017,] 16933.51 4733.242
## [9018,] 16943.51 4733.242
## [9019,] 16953.51 4733.242
## [9020,] 16963.51 4733.242
## [9021,] 16973.51 4733.242
## [9022,] 16983.51 4733.242
## [9023,] 16993.51 4733.242
## [9024,] 17003.51 4733.242
## [9025,] 17013.51 4733.242
## [9026,] 17023.51 4733.242
## [9027,] 17033.51 4733.242
## [9028,] 17043.51 4733.242
## [9029,] 17053.51 4733.242
## [9030,] 17063.51 4733.242
## [9031,] 17073.51 4733.242
## [9032,] 17083.51 4733.242
## [9033,] 17093.51 4733.242
## [9034,] 17103.51 4733.242
## [9035,] 17113.51 4733.242
## [9036,] 17123.51 4733.242
## [9037,] 17133.51 4733.242
## [9038,] 17143.51 4733.242
## [9039,] 17153.51 4733.242
## [9040,] 17163.51 4733.242
## [9041,] 17173.51 4733.242
## [9042,] 17183.51 4733.242
## [9043,] 17193.51 4733.242
## [9044,] 17203.51 4733.242
## [9045,] 17213.51 4733.242
## [9046,] 17223.51 4733.242
## [9047,] 17233.51 4733.242
## Coordinate Reference System (CRS) arguments: NA
##
## Data summary:
## ID Prob
## Min. : 1 Min. :0.0000
## 1st Qu.:2262 1st Qu.:0.0000
## Median :4524 Median :0.0350
## Mean :4524 Mean :0.2694
## 3rd Qu.:6786 3rd Qu.:0.5000
## Max. :9047 Max. :1.0000# Tamaño de grilla:
mayorProbUmbral@grid@cellsize #10 metros por 10 metros## x1 x2
## 10 10# Cálcular superficie
areaCelda <- 10*10
cantidadCeldasCumplenCondicion <- length(mayorProbUmbral$Prob)
areaTotal <- cantidadCeldasCumplenCondicion * areaCelda
paste("Área total que cumple condición: ",
areaTotal, " m2",
sep = "")## [1] "Área total que cumple condición: 88900 m2"# Calcular porcentaje del lote
areaTotalLote <- length(probRindeMayor9500.grid$ID) * areaCelda
porcentajeAreaTotalCeldasCumplenCondicion <- (areaTotalCeldasCumplenCondicion/areaTotalLote)*100
paste("Porcentaje del Área total del lote que cumple condición: ",
round(porcentajeAreaTotalCeldasCumplenCondicion, digits = 2), " %",
sep = "")## [1] "Porcentaje del Área total del lote que cumple condición: 9.83 %"# Plot
spplot(mayorProbUmbral, zcol = "Prob", colorkey = TRUE,
main = "Probabilidad > 0.8")